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.gitattributes CHANGED
@@ -57,3 +57,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/vindprod2002-2024_kraftverk_utcplus1.xlsx filter=lfs diff=lfs merge=lfs -text
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+ nve-windpower-timeseries.csv filter=lfs diff=lfs merge=lfs -text
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.spyproject/config/workspace.ini ADDED
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+ save_non_project_files = False
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+ project_type = 'empty-project-type'
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+ recent_files = ['extract_data.py']
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+
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+ [main]
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+
README.md ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ language:
4
+ - en
5
+ tags:
6
+ - wind power
7
+ - weather prediction
8
+ - energy
9
+ - climate
10
+ pretty_name: Wind Power Generation and Historical Numerical Weather Prediction Data
11
+ ---
12
+ # Dataset: Wind Power Generation and Historical Numerical Weather Prediction Data
13
+
14
+ The dataset is intended and structured for the problem of short-term (hours-to-days-ahead) wind power forecasting using numerical weather prediction (NWP) data.
15
+
16
+ ![NVE Wind Parks Locations](./assets/parks_map.png)
17
+
18
+
19
+
20
+ The dataset consists of 3 different types of data:
21
+ - **Historical wind power generation data ([NVE](https://www.nve.no/energi/energisystem/vindkraft/vindkraftdata/))**
22
+ - Historical wind power generation data with hourly resolution from wind parks located in Norway (NVE)
23
+ - **Historical weather forecasts**
24
+ - **Weather reanalysis data**:
25
+
26
+
27
+
28
+ ## Data details & samples
29
+
30
+ ### NVE wind park metadata
31
+
32
+ SMHI weather observation data is structured in csv files, separately for each weather parameter and weather observation station.
33
+ See the sample below:
34
+ ```yaml
35
+ {
36
+ "Navn": "Ånstadblåheia",
37
+ "Lokasjon": {
38
+ "Lengdegrad": "15.2597° E",
39
+ "Breddegrad": "68.724° N"
40
+ },
41
+ "Midlere årsproduksjon": "154,0 GWh",
42
+ "Maksimal effekt": "50,4 MW",
43
+ "Fylke(r)": "Nordland",
44
+ "Kommune(r)": "Sortland – Suortá",
45
+ "Elspotområde": "NO 4",
46
+ "Antall operative turbiner": "14",
47
+ "Gjennomsnitt navhøyde": "87 m",
48
+ "Gjennomsnitt rotordiameter": "126 m",
49
+ "Gjennomsnitt generatorytelse": "3,6 MW",
50
+ "Energi per sveipt areal": "882,2 kWh/m2",
51
+ "Vindturbiner": [
52
+ {
53
+ "Turbinprodusent": "Vestas",
54
+ "Turbintype": "V126-3.6",
55
+ "Antall": 14,
56
+ "Idriftsatt": 2018
57
+ }
58
+ ],
59
+ "Info": "https://www.nve.no/energi/energisystem/vindkraft/utbygde-vindkraftverk/vindkraftverk/?id=10194"
60
+ }
61
+
62
+ ```
63
+
64
+
65
+
66
+ ### Wind power generation data
67
+
68
+ SMHI weather observation data is structured in csv files, separately for each weather parameter and weather observation station.
69
+ See the sample below:
70
+
71
+ ```csv
72
+ valid_time,WindPower[MW]
73
+ 2018-09-19 06:00:00+00:00,0.0
74
+ 2018-09-19 07:00:00+00:00,0.025
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+ 2018-09-19 08:00:00+00:00,0.675
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+ 2018-09-19 09:00:00+00:00,1.075
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+ 2018-09-19 10:00:00+00:00,2.025
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+
79
+ ```
80
+
81
+
82
+ ### Weather reanalysis data
83
+
84
+ ECMWF ERA5 weather reanalysis data is structured in zipped csv files, separately for each weather parameter and weather observation station.
85
+ See the sample below:
86
+
87
+ ```csv
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+ valid_time,RelativeHumidity[%],Temperature[°C],WindDirection[°],WindSpeed[m/s]
89
+ 2002-01-01 00:00:00+00:00,83.86,-6.33,201.41,2.93
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+ 2002-01-01 01:00:00+00:00,82.14,-8.94,192.06,3.05
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+ 2002-01-01 02:00:00+00:00,81.04,-10.59,186.99,2.67
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+ 2002-01-01 03:00:00+00:00,79.61,-10.68,184.02,2.18
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+ 2002-01-01 04:00:00+00:00,77.21,-11.0,180.37,2.31
94
+
95
+ ```
96
+
97
+ ### Historical weather forecasts
98
+
99
+ Historical ECMWF weather forecasts contain a number of forecasted weather variables at 4 nearest grid points around each SMHI observation station:
100
+
101
+
102
+ ```csv
103
+ reference_time,valid_time,RelativeHumidity[%],Temperature[°C],WindDirection[°],WindSpeed[m/s]
104
+ 2020-01-01 00:00:00+00:00,2020-01-01 00:00:00+00:00,91.66,-0.64,177.24,2.55
105
+ 2020-01-01 00:00:00+00:00,2020-01-01 01:00:00+00:00,92.67,0.17,180.37,2.76
106
+ 2020-01-01 00:00:00+00:00,2020-01-01 02:00:00+00:00,92.72,0.14,165.8,2.58
107
+ 2020-01-01 00:00:00+00:00,2020-01-01 03:00:00+00:00,93.33,0.41,159.98,2.37
108
+ 2020-01-01 00:00:00+00:00,2020-01-01 04:00:00+00:00,95.42,0.48,146.88,2.63
109
+ ```
data/geodata.json ADDED
The diff for this file is too large to render. See raw diff
 
data/metadata.json ADDED
The diff for this file is too large to render. See raw diff
 
data/vindprod2002-2024_kraftverk_utcplus1.xlsx ADDED
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+ oid sha256:03bd7b99372010fdfa35b2f91b5553c12dd44d929e9d90b9257d1cfac020ab01
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+ size 43043185
extract_data.py ADDED
@@ -0,0 +1,169 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import requests
2
+ import pandas as pd
3
+ import json
4
+
5
+ translation_dict = {
6
+ 'VindkraftAnleggId': 'WindPowerPlantId',
7
+ 'Navn': 'Name',
8
+ 'IdriftsettelseForsteByggetrinn': 'CommissioningFirstPhase',
9
+ 'AnleggsNr': 'FacilityNumber',
10
+ 'InstallertEffekt_MW': 'InstalledCapacity_MW',
11
+ 'HovedEierNavn': 'MainOwnerName',
12
+ 'HovedEierOrgNr': 'MainOwnerOrgNumber',
13
+ 'ElspotomraadeNummer': 'ElspotAreaNumber',
14
+ 'Fylke': 'County',
15
+ 'Kommune': 'Municipality',
16
+ 'NormalAArsproduksjon_GWh': 'NormalAnnualProduction_GWh',
17
+ 'GjsnittGeneratorytelse': 'AvgGeneratorOutput',
18
+ 'GjsnittNavhoeyde': 'AvgHubHeight',
19
+ 'GjsnittRotordiameter': 'AvgRotorDiameter',
20
+ 'EnergiPerSveiptAreal': 'EnergyPerSweptArea',
21
+ 'AntallOperativeTurbiner': 'NumberOfOperationalTurbines',
22
+ 'AnlKonsNr_Vind': 'FacilityPermitNumber_Wind',
23
+ 'AntallTurbiner': 'NumberOfTurbines',
24
+ 'DatoIdriftsatt': 'CommissioningDate',
25
+ 'DatoUtavdrift': 'DecommissioningDate',
26
+ 'ForventetProd_NormalAAr_GWh': 'ExpectedProduction_NormalYear_GWh',
27
+ 'KR_Saksid': 'NVE_CaseId',
28
+ 'TurbinID': 'TurbineID',
29
+ 'TurbinProdusent': 'TurbineManufacturer',
30
+ 'TurbinStorrelse_kW': 'TurbineSize_kW',
31
+ 'TurbinType': 'TurbineType',
32
+ 'TurbintypeID': 'TurbineTypeID',
33
+ }
34
+
35
+ def translate_keys_recursive(obj, translation_dict):
36
+ if isinstance(obj, dict):
37
+ return {
38
+ translation_dict.get(k, k): translate_keys_recursive(v, translation_dict)
39
+ for k, v in obj.items()
40
+ }
41
+ elif isinstance(obj, list):
42
+ return [translate_keys_recursive(item, translation_dict) for item in obj]
43
+ else:
44
+ return obj
45
+
46
+ def get_power():
47
+
48
+ output_path = 'data/vindprod2002-2024_kraftverk_utcplus1.xlsx'
49
+ url = 'https://www.nve.no/media/18018/vindprod2002-2024_kraftverk_utcplus1.xlsx'
50
+
51
+ response = requests.get(url)
52
+ with open(output_path, 'wb') as f:
53
+ f.write(response.content)
54
+
55
+ print("Power data saved to:", output_path)
56
+
57
+ def get_metadata():
58
+
59
+ output_path = 'data/metadata.json'
60
+ url = 'https://api.nve.no/web/WindPowerplant/GetWindPowerPlants'
61
+ # url = "https://api.nve.no/web/WindPowerplant/GetWindPowerPlantsInOperation"
62
+
63
+ response = requests.get(url)
64
+ data = response.json()
65
+
66
+ with open(output_path, 'w', encoding='utf-8') as f:
67
+ json.dump(data, f, indent=4, ensure_ascii=False)
68
+
69
+ print("Metadata saved to:", output_path)
70
+
71
+ def get_geodata():
72
+
73
+ output_path = 'data/geodata.json'
74
+ latlon_wkid = 4326
75
+ url = f'https://nve.geodataonline.no/arcgis/rest/services/Vindkraft2/MapServer/0/query?f=json&cacheHint=true&resultOffset=0&resultRecordCount=1000&where=1%3D1&orderByFields=OBJECTID&outFields=*&outSR={latlon_wkid}&spatialRel=esriSpatialRelIntersects'
76
+
77
+ response = requests.get(url)
78
+ data = response.json()
79
+
80
+ with open(output_path, 'w', encoding='utf-8') as f:
81
+ json.dump(data, f, indent=4, ensure_ascii=False)
82
+
83
+ print("Geodata saved to:", output_path)
84
+
85
+
86
+ def extract_meta():
87
+
88
+ output_path_1 = 'nve-windpower-metadata.csv'
89
+ output_path_2 = 'nve-windpower-metadata-extended.csv'
90
+
91
+ file_path_1 = 'data/metadata.json'
92
+ file_path_2 = 'data/geodata.json'
93
+
94
+ with open(file_path_1, 'r', encoding='utf-8') as f:
95
+ metadata = json.load(f)
96
+ with open(file_path_2, 'r', encoding='utf-8') as f:
97
+ geodata = json.load(f)
98
+
99
+ metadata = translate_keys_recursive(metadata, translation_dict)
100
+
101
+ # Convert to pandas dataframe
102
+ metadata_df = pd.DataFrame(metadata)
103
+ geodata_df = pd.DataFrame([{'name': park_feature['attributes']['anleggNavn'],
104
+ 'code': park_feature['attributes']['anleggsNr'],
105
+ 'capacity_MW': park_feature['attributes']['effekt_MW'],
106
+ 'no_turbines': park_feature['attributes']['antallTurbiner'],
107
+ 'start_date': pd.to_datetime(park_feature['attributes']['forsteIdriftDato'], unit='ms'),
108
+ 'lat': park_feature['geometry']['y'],
109
+ 'lon': park_feature['geometry']['x']
110
+ }
111
+ for park_feature in geodata['features']])
112
+
113
+ metadata_df = metadata_df.set_index('FacilityNumber')
114
+ geodata_df = geodata_df.set_index('code')
115
+
116
+ # Add lat and lon from geodata_df
117
+ metadata_df['lat'] = geodata_df['lat']
118
+ metadata_df['lon'] = geodata_df['lon']
119
+
120
+ # Reset index
121
+ metadata_df = metadata_df.reset_index()
122
+
123
+ # Set colums as int
124
+ for c in ['WindPowerPlantId','FacilityNumber','MainOwnerOrgNumber','ElspotAreaNumber','NumberOfOperationalTurbines']:
125
+ metadata_df[c] = pd.to_numeric(metadata_df[c], errors='coerce').astype('Int64')
126
+
127
+ # Remove column with turbine meta
128
+ metadata_df1 = metadata_df.copy()
129
+ metadata_df1 = metadata_df1.drop('Turbiner', axis=1)
130
+ metadata_df1 = metadata_df1.set_index('WindPowerPlantId').sort_index()
131
+
132
+ # Explode turbine list
133
+ df_exploded = metadata_df.explode('Turbiner').reset_index(drop=True)
134
+ # Normalize turbine dictionaries into columns
135
+ data_normalized = pd.json_normalize(df_exploded['Turbiner'])
136
+ # Combine with original dataframe (without the old turbine column)
137
+ metadata_df2 = pd.concat([df_exploded.drop(columns='Turbiner'), data_normalized], axis=1)
138
+ metadata_df2 = metadata_df2.set_index('WindPowerPlantId').sort_index()
139
+
140
+ # Save dataframe as cvs
141
+ metadata_df1.to_csv(output_path_1, index=True)
142
+ metadata_df2.to_csv(output_path_2, index=True)
143
+
144
+ def extract_power():
145
+
146
+ output_path = 'nve-windpower-timeseries.csv'
147
+
148
+ file_path = 'data/vindprod2002-2024_kraftverk_utcplus1.xlsx'
149
+
150
+ power = pd.read_excel(file_path, header=1, skiprows=[2])
151
+
152
+ power = power.rename(columns={'kraftverknr':'datetime'})
153
+ power = power.set_index('datetime')
154
+ power.index = pd.to_datetime(power.index, utc=True)
155
+
156
+ # Sort by park id
157
+ power = power[sorted(power.columns)]
158
+
159
+ # Save dataframe as cvs
160
+ power.to_csv(output_path, index=True)
161
+
162
+
163
+ if __name__ == '__main__':
164
+ get_power()
165
+ get_metadata()
166
+ extract_meta()
167
+ extract_power()
168
+
169
+
map.html ADDED
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1
+ <!DOCTYPE html>
2
+ <html>
3
+ <head>
4
+
5
+ <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
6
+
7
+ <script>
8
+ L_NO_TOUCH = false;
9
+ L_DISABLE_3D = false;
10
+ </script>
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+
12
+ <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
13
+ <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
14
+ <script src="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js"></script>
15
+ <script src="https://code.jquery.com/jquery-3.7.1.min.js"></script>
16
+ <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js"></script>
17
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
18
+ <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css"/>
19
+ <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css"/>
20
+ <link rel="stylesheet" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"/>
21
+ <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css"/>
22
+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
23
+ <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>
24
+
25
+ <meta name="viewport" content="width=device-width,
26
+ initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
27
+ <style>
28
+ #map_4018ee9efd9172c450d37819c9ee09b6 {
29
+ position: relative;
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+ width: 100.0%;
31
+ height: 100.0%;
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+ left: 0.0%;
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+ top: 0.0%;
34
+ }
35
+ .leaflet-container { font-size: 1rem; }
36
+ </style>
37
+
38
+ <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js"></script>
39
+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css"/>
40
+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css"/>
41
+ </head>
42
+ <body>
43
+
44
+
45
+ <div class="folium-map" id="map_4018ee9efd9172c450d37819c9ee09b6" ></div>
46
+
47
+ </body>
48
+ <script>
49
+
50
+
51
+ var map_4018ee9efd9172c450d37819c9ee09b6 = L.map(
52
+ "map_4018ee9efd9172c450d37819c9ee09b6",
53
+ {
54
+ center: [62.75804838709677, 10.256217741935483],
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+ crs: L.CRS.EPSG3857,
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+ zoom: 7,
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+ zoomControl: true,
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+ preferCanvas: false,
59
+ }
60
+ );
61
+
62
+
63
+
64
+
65
+
66
+ var tile_layer_95f22c243065523a70075186e9bb1461 = L.tileLayer(
67
+ "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
68
+ {"attribution": "Data by \u0026copy; \u003ca target=\"_blank\" href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca target=\"_blank\" href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
69
+ );
70
+
71
+
72
+ tile_layer_95f22c243065523a70075186e9bb1461.addTo(map_4018ee9efd9172c450d37819c9ee09b6);
73
+
74
+ var marker_cluster_5feffc441a867d1a824680be9edcc12d = L.markerClusterGroup(
75
+ {}
76
+ );
77
+
78
+
79
+ marker_cluster_5feffc441a867d1a824680be9edcc12d.addTo(map_4018ee9efd9172c450d37819c9ee09b6);
80
+
81
+ var marker_508b27c081562c157f4e08e70e2a83aa = L.marker(
82
+ [64.3946, 10.7064],
83
+ {}
84
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
85
+
86
+
87
+ var div_icon_fddae1343ebeeedc5052f901232ace45 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
88
+ marker_508b27c081562c157f4e08e70e2a83aa.setIcon(div_icon_fddae1343ebeeedc5052f901232ace45);
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+
90
+
91
+ var popup_4214e9a5b667ebdf3176cb31d2479a3d = L.popup({"maxWidth": "100%"});
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+
93
+
94
+
95
+ var html_3d7ec607d7a2a0604bc7bae206f4f2b0 = $(`<div id="html_3d7ec607d7a2a0604bc7bae206f4f2b0" style="width: 100.0%; height: 100.0%;">Sørmarkfjellet</div>`)[0];
96
+ popup_4214e9a5b667ebdf3176cb31d2479a3d.setContent(html_3d7ec607d7a2a0604bc7bae206f4f2b0);
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+
98
+
99
+
100
+ marker_508b27c081562c157f4e08e70e2a83aa.bindPopup(popup_4214e9a5b667ebdf3176cb31d2479a3d)
101
+ ;
102
+
103
+
104
+
105
+
106
+ var marker_488fb62afe766c16e332c6a450a3bdd6 = L.marker(
107
+ [59.3115, 5.584],
108
+ {}
109
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
110
+
111
+
112
+ var div_icon_a15e661f8ec2bf91f2fc9cb5ad3096eb = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
113
+ marker_488fb62afe766c16e332c6a450a3bdd6.setIcon(div_icon_a15e661f8ec2bf91f2fc9cb5ad3096eb);
114
+
115
+
116
+ var popup_5014e9e7d973dd073b59eb2a98ce08c6 = L.popup({"maxWidth": "100%"});
117
+
118
+
119
+
120
+ var html_094476fba58d6f51a9ece905fd21f190 = $(`<div id="html_094476fba58d6f51a9ece905fd21f190" style="width: 100.0%; height: 100.0%;">Tysvær</div>`)[0];
121
+ popup_5014e9e7d973dd073b59eb2a98ce08c6.setContent(html_094476fba58d6f51a9ece905fd21f190);
122
+
123
+
124
+
125
+ marker_488fb62afe766c16e332c6a450a3bdd6.bindPopup(popup_5014e9e7d973dd073b59eb2a98ce08c6)
126
+ ;
127
+
128
+
129
+
130
+
131
+ var marker_2265edd1a4182017a668016fbb53b345 = L.marker(
132
+ [63.6941, 8.6561],
133
+ {}
134
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
135
+
136
+
137
+ var div_icon_8d31cde30d5930d196a06467c28756b4 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
138
+ marker_2265edd1a4182017a668016fbb53b345.setIcon(div_icon_8d31cde30d5930d196a06467c28756b4);
139
+
140
+
141
+ var popup_53e53576efe159697803cbe0f5d6f730 = L.popup({"maxWidth": "100%"});
142
+
143
+
144
+
145
+ var html_e722af4dd8b11689381ae4a2e34b006f = $(`<div id="html_e722af4dd8b11689381ae4a2e34b006f" style="width: 100.0%; height: 100.0%;">Frøya</div>`)[0];
146
+ popup_53e53576efe159697803cbe0f5d6f730.setContent(html_e722af4dd8b11689381ae4a2e34b006f);
147
+
148
+
149
+
150
+ marker_2265edd1a4182017a668016fbb53b345.bindPopup(popup_53e53576efe159697803cbe0f5d6f730)
151
+ ;
152
+
153
+
154
+
155
+
156
+ var marker_e296136fcff2b74e1ed3319029604700 = L.marker(
157
+ [58.6655, 5.9591],
158
+ {}
159
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
160
+
161
+
162
+ var div_icon_425be754b3b226dfb33b173fa1be3477 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
163
+ marker_e296136fcff2b74e1ed3319029604700.setIcon(div_icon_425be754b3b226dfb33b173fa1be3477);
164
+
165
+
166
+ var popup_1a5178963f4ff33ac9b4012e04ae35ab = L.popup({"maxWidth": "100%"});
167
+
168
+
169
+
170
+ var html_7ab8f5800f25d60d5152ff6667dc7467 = $(`<div id="html_7ab8f5800f25d60d5152ff6667dc7467" style="width: 100.0%; height: 100.0%;">Stigafjellet</div>`)[0];
171
+ popup_1a5178963f4ff33ac9b4012e04ae35ab.setContent(html_7ab8f5800f25d60d5152ff6667dc7467);
172
+
173
+
174
+
175
+ marker_e296136fcff2b74e1ed3319029604700.bindPopup(popup_1a5178963f4ff33ac9b4012e04ae35ab)
176
+ ;
177
+
178
+
179
+
180
+
181
+ var marker_f382125212aad0b7240212c9cea06c47 = L.marker(
182
+ [58.6663, 5.9174],
183
+ {}
184
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
185
+
186
+
187
+ var div_icon_555e218b7dc2bc24037b405b361b0579 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
188
+ marker_f382125212aad0b7240212c9cea06c47.setIcon(div_icon_555e218b7dc2bc24037b405b361b0579);
189
+
190
+
191
+ var popup_76da2808d62bbb9f03d11d7272170770 = L.popup({"maxWidth": "100%"});
192
+
193
+
194
+
195
+ var html_b5d7e3502f4c11240d14280341938c2b = $(`<div id="html_b5d7e3502f4c11240d14280341938c2b" style="width: 100.0%; height: 100.0%;">Måkaknuten</div>`)[0];
196
+ popup_76da2808d62bbb9f03d11d7272170770.setContent(html_b5d7e3502f4c11240d14280341938c2b);
197
+
198
+
199
+
200
+ marker_f382125212aad0b7240212c9cea06c47.bindPopup(popup_76da2808d62bbb9f03d11d7272170770)
201
+ ;
202
+
203
+
204
+
205
+
206
+ var marker_f3f99f9b2ee8522bb37323c15641c986 = L.marker(
207
+ [62.1591, 5.2442],
208
+ {}
209
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
210
+
211
+
212
+ var div_icon_a408805c196414e47fa409898c15492b = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
213
+ marker_f3f99f9b2ee8522bb37323c15641c986.setIcon(div_icon_a408805c196414e47fa409898c15492b);
214
+
215
+
216
+ var popup_e3e083278f6f3bb53bd4da3350e243ef = L.popup({"maxWidth": "100%"});
217
+
218
+
219
+
220
+ var html_b8bf32218043e6d333af15ea574ef930 = $(`<div id="html_b8bf32218043e6d333af15ea574ef930" style="width: 100.0%; height: 100.0%;">Okla</div>`)[0];
221
+ popup_e3e083278f6f3bb53bd4da3350e243ef.setContent(html_b8bf32218043e6d333af15ea574ef930);
222
+
223
+
224
+
225
+ marker_f3f99f9b2ee8522bb37323c15641c986.bindPopup(popup_e3e083278f6f3bb53bd4da3350e243ef)
226
+ ;
227
+
228
+
229
+
230
+
231
+ var marker_f1220f0bc9233f141abcc7519499a62f = L.marker(
232
+ [61.251, 4.9615],
233
+ {}
234
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
235
+
236
+
237
+ var div_icon_fd8dcc8701b9336fb079b11690adbfd4 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
238
+ marker_f1220f0bc9233f141abcc7519499a62f.setIcon(div_icon_fd8dcc8701b9336fb079b11690adbfd4);
239
+
240
+
241
+ var popup_2e5b3609c531269719f9b1aeca280982 = L.popup({"maxWidth": "100%"});
242
+
243
+
244
+
245
+ var html_34353de29c10cfb68f1baa94109f264e = $(`<div id="html_34353de29c10cfb68f1baa94109f264e" style="width: 100.0%; height: 100.0%;">Lutelandet</div>`)[0];
246
+ popup_2e5b3609c531269719f9b1aeca280982.setContent(html_34353de29c10cfb68f1baa94109f264e);
247
+
248
+
249
+
250
+ marker_f1220f0bc9233f141abcc7519499a62f.bindPopup(popup_2e5b3609c531269719f9b1aeca280982)
251
+ ;
252
+
253
+
254
+
255
+
256
+ var marker_a701a1f6dc807c0af640dc2a32526206 = L.marker(
257
+ [59.323, 5.433],
258
+ {}
259
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
260
+
261
+
262
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+ ;
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+ ;
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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+ var popup_e37285d262feca4a4f2c2dfb9249b34a = L.popup({"maxWidth": "100%"});
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+ var html_6ea163572e77b4e9346a4527c0c4be0e = $(`<div id="html_6ea163572e77b4e9346a4527c0c4be0e" style="width: 100.0%; height: 100.0%;">Stokkfjellet</div>`)[0];
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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+ var html_77ba3c8218cbcbfebafe6314fd87954f = $(`<div id="html_77ba3c8218cbcbfebafe6314fd87954f" style="width: 100.0%; height: 100.0%;">Buheii</div>`)[0];
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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+ var html_da402ff8cc9b556626e9a4822272f39c = $(`<div id="html_da402ff8cc9b556626e9a4822272f39c" style="width: 100.0%; height: 100.0%;">Odal</div>`)[0];
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412
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+ var html_00c532f5aa1f480f92e3fc8bbfb6bd88 = $(`<div id="html_00c532f5aa1f480f92e3fc8bbfb6bd88" style="width: 100.0%; height: 100.0%;">Kjølberget</div>`)[0];
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+ ;
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448
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462
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470
+ var html_673eddf849bc148d5706c052d141e567 = $(`<div id="html_673eddf849bc148d5706c052d141e567" style="width: 100.0%; height: 100.0%;">Hundhammerfjellet</div>`)[0];
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+ var html_2983ce8f1a188388b956695d21f4638b = $(`<div id="html_2983ce8f1a188388b956695d21f4638b" style="width: 100.0%; height: 100.0%;">Hitra</div>`)[0];
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512
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537
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540
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541
+ var popup_c0833c67b25b356f09989c662ad01743 = L.popup({"maxWidth": "100%"});
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543
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544
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545
+ var html_8e68045fd61d9a19bccda09fe593c57f = $(`<div id="html_8e68045fd61d9a19bccda09fe593c57f" style="width: 100.0%; height: 100.0%;">Havøygavlen</div>`)[0];
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548
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549
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553
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554
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555
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556
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+ {}
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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561
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562
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+ {}
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586
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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636
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637
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641
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643
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644
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645
+ var html_58b102ea5bf6823fed30de93ed1ba5d8 = $(`<div id="html_58b102ea5bf6823fed30de93ed1ba5d8" style="width: 100.0%; height: 100.0%;">Åsen II</div>`)[0];
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
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661
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662
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+ var popup_b6d75b74d74ac3866bf59eb6b56bb12f = L.popup({"maxWidth": "100%"});
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668
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669
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670
+ var html_64b4495e52e512f602f83789ad146254 = $(`<div id="html_64b4495e52e512f602f83789ad146254" style="width: 100.0%; height: 100.0%;">Utsira</div>`)[0];
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684
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
685
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686
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687
+ var div_icon_a32e9c51a3778ea99991b58c73d23652 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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+ var popup_d6db6ded61dd4366b39d7c6b2f86b615 = L.popup({"maxWidth": "100%"});
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693
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694
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695
+ var html_ee9207b9e33e3c12ef8a23787a5bf678 = $(`<div id="html_ee9207b9e33e3c12ef8a23787a5bf678" style="width: 100.0%; height: 100.0%;">Nygårdsfjellet</div>`)[0];
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699
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+ {}
709
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
710
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711
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712
+ var div_icon_8d164bb23d9271e54779ae77cb5e2b14 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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716
+ var popup_b971d3939ffbe86f9fe4ae2cf7be1f2d = L.popup({"maxWidth": "100%"});
717
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718
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719
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720
+ var html_23f2e5bd178a6ebb506631c4042ebbe8 = $(`<div id="html_23f2e5bd178a6ebb506631c4042ebbe8" style="width: 100.0%; height: 100.0%;">Midtfjellet</div>`)[0];
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723
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724
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725
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+ {}
734
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
735
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736
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737
+ var div_icon_6bd2e205be17605d37dff95e068ef572 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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+ var popup_0b9e85868db8489bc6903237caa0ef06 = L.popup({"maxWidth": "100%"});
742
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743
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744
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745
+ var html_67f8384459206ca6e66f45b19eda6b02 = $(`<div id="html_67f8384459206ca6e66f45b19eda6b02" style="width: 100.0%; height: 100.0%;">Fakken</div>`)[0];
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747
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748
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749
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750
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+ ;
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+ {}
759
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
760
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761
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762
+ var div_icon_7ca152e67902fc01d280e0337db88595 = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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+ var popup_bf02f1478e4c4c1379b06bd2b8dc6968 = L.popup({"maxWidth": "100%"});
767
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768
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769
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770
+ var html_05525839ac62bcd8c997107f10fd2cc7 = $(`<div id="html_05525839ac62bcd8c997107f10fd2cc7" style="width: 100.0%; height: 100.0%;">Høg-Jæren</div>`)[0];
771
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773
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775
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781
+ var marker_0cb166f1df9293677c08e712013cd1cb = L.marker(
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783
+ {}
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
785
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786
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787
+ var div_icon_a6136b1fa9c44851c9cbb9aecfcad8bc = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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+ var popup_7274f1b66854325f2f08c79a5d5a2bac = L.popup({"maxWidth": "100%"});
792
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793
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794
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795
+ var html_afff369dc60c320b28211297aef0db53 = $(`<div id="html_afff369dc60c320b28211297aef0db53" style="width: 100.0%; height: 100.0%;">Lista</div>`)[0];
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798
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800
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+ ;
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806
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+ {}
809
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
810
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811
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812
+ var div_icon_a1ef2cbf437a92742dee712a4414117b = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
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816
+ var popup_fbbdc98b7a5a02c36ce3a3571c278797 = L.popup({"maxWidth": "100%"});
817
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818
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819
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820
+ var html_afbb1cf2e88bacc22b5aea40dd643600 = $(`<div id="html_afbb1cf2e88bacc22b5aea40dd643600" style="width: 100.0%; height: 100.0%;">Røyrmyra</div>`)[0];
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823
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831
+ var marker_5e381d8241209d95fc587218ba2a9bff = L.marker(
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833
+ {}
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+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
835
+
836
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837
+ var div_icon_d5a7c7bec4363a70cb05e3ab5d23d12c = L.divIcon({"className": "empty", "html": "\n \u003cdiv style=\"position: relative; width: 12px; height: 12px;\"\u003e\n \u003cdiv style=\"position: absolute; top: 50%; left: 0; width: 100%; height: 2px; background-color: blue; transform: translateY(-50%);\"\u003e\u003c/div\u003e\n \u003cdiv style=\"position: absolute; top: 0; left: 50%; width: 2px; height: 100%; background-color: blue; transform: translateX(-50%);\"\u003e\u003c/div\u003e\n \u003c/div\u003e\n "});
838
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840
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841
+ var popup_0fc24804d699cded3c6b7004fc8a5e89 = L.popup({"maxWidth": "100%"});
842
+
843
+
844
+
845
+ var html_3ee97cd13b95c5539245e90a47982ca1 = $(`<div id="html_3ee97cd13b95c5539245e90a47982ca1" style="width: 100.0%; height: 100.0%;">Tellenes</div>`)[0];
846
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847
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848
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849
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850
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851
+ ;
852
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853
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854
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855
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856
+ var marker_85b164b33f41d6db563fdf8e4e9667a2 = L.marker(
857
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858
+ {}
859
+ ).addTo(map_4018ee9efd9172c450d37819c9ee09b6);
860
+
861
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862
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1008
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1011
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1021
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1036
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1037
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1061
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1062
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1087
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1106
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1111
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1112
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1119
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1120
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1121
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1137
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1141
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1143
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1144
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1145
+ var html_065206f3b67d462b17c3d4b4738d8e25 = $(`<div id="html_065206f3b67d462b17c3d4b4738d8e25" style="width: 100.0%; height: 100.0%;">Kvitfjell</div>`)[0];
1146
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1387
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1412
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+ var html_176ba256e8fba2e7451419da325ab29b = $(`<div id="html_176ba256e8fba2e7451419da325ab29b" style="width: 100.0%; height: 100.0%;">Valsneset</div>`)[0];
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+ </script>
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+ </html>
nve-windpower-metadata-extended.csv ADDED
The diff for this file is too large to render. See raw diff
 
nve-windpower-metadata.csv ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ WindPowerPlantId,FacilityNumber,Name,CommissioningFirstPhase,InstalledCapacity_MW,MainOwnerName,MainOwnerOrgNumber,ElspotAreaNumber,County,Municipality,NormalAnnualProduction_GWh,AvgGeneratorOutput,AvgHubHeight,AvgRotorDiameter,EnergyPerSweptArea,NumberOfOperationalTurbines,lat,lon
2
+ 1,9875,Fjeldskår,1998-07-01T00:00:00,0.0,Å ENERGI VANNKRAFT AS,882973972,2,Agder,Lindesnes,0.0,,,,,0,,
3
+ 2,9574,Kjøllefjord,2006-10-10T00:00:00,39.1,KJØLLEFJORD VIND AS,990564884,4,Finnmark,Lebesby,116.06,2300.0,70.0,82.0,1292.8,17,70.92197527783172,27.268162736189524
4
+ 3,9792,Havøygavlen,2002-10-15T00:00:00,40.8,ARCTIC WIND AS,979331622,4,Finnmark,Måsøy,137.0,4080.0,89.9,115.4,2179.9,10,71.01190245098945,24.589283320987846
5
+ 4,10473,Sandøy,1999-12-10T00:00:00,0.0,SANDØY VINDKRAFT AS,979488424,3,Møre og Romsdal,Ålesund,0.0,,,,,0,,
6
+ 5,9591,Smøla,2002-09-05T00:00:00,145.8,SMØLA VIND 2 AS,986113681,3,Møre og Romsdal,Smøla,316.92,2209.1,70.0,80.2,950.5,66,63.40740150816482,7.922752674763089
7
+ 6,9788,Nygårdsfjellet,2005-10-01T00:00:00,32.2,NYGÅRDSFJELLET VINDPARK AS,917117764,4,Nordland,Narvik,93.9,2300.0,80.0,93.0,987.4,14,68.50390844215516,17.87843031917491
8
+ 7,9794,Hundhammerfjellet,1998-09-19T00:00:00,55.0,HUNDHAMMERFJELLET AS,921891628,3,Trøndelag,Nærøysund,184.07,3928.6,86.3,126.7,1609.9,14,64.7574727245658,11.37455792385135
9
+ 10,9790,Utsira,2003-09-18T00:00:00,1.2,SOLVIND PROSJEKT AS,990898847,2,Rogaland,Utsira,3.32,600.0,46.0,40.0,1321.0,2,59.31569655019061,4.904825382909285
10
+ 11,9864,METCentre Karmøy,2009-09-08T00:00:00,5.9,UNITECH OFFSHORE AS,966528591,2,Rogaland,Karmøy,23.0,2950.0,79.0,106.0,1303.2,2,59.14012307594302,5.029746884333854
11
+ 12,10075,Mehuken,2001-07-01T00:00:00,25.3,KVALHEIM KRAFT DA,994701088,3,Vestland,Kinn,63.68,2300.0,64.0,71.0,1737.7,11,62.015343706595175,5.002992776770066
12
+ 19,9464,Hitra,2004-08-16T00:00:00,55.2,HITRA VIND AS,985129177,3,Trøndelag,Hitra,126.1,2300.0,70.0,82.0,994.9,24,63.51971428863519,8.800895534960041
13
+ 20,10413,Bessakerfjellet,2007-09-10T00:00:00,57.5,MIDGARD VIND AS,921894066,3,Trøndelag,Åfjord,152.94,2300.0,64.0,71.0,1545.2,25,64.22481104165219,10.374617567088155
14
+ 21,9890,Valsneset,2006-10-27T00:00:00,11.5,MIDGARD VIND AS,921894066,3,Trøndelag,Ørland,29.84,2300.0,64.0,71.0,1507.4,5,63.819816531053995,9.629985106268759
15
+ 22,10226,Vikna,1991-09-20T00:00:00,0.0,NTE ENERGI AS,988340715,3,Trøndelag,Nærøysund,0.0,,,,,0,,
16
+ 23,9999,Kvalnes,1991-08-01T00:00:00,0.0,ANDØY ENERGI AS,971048611,4,Nordland,Andøy,0.0,,,,,0,,
17
+ 24,,"Hovden, Vesterålen",1991-08-01T00:00:00,0.0,VESTERÅLSKRAFT PRODUKSJON AS,977044863,4,Nordland,Bø,0.0,,,,,0,,
18
+ 25,,Sandhaugen,2004-02-18T00:00:00,0.0,SANDHAUGEN VINDKRAFTVERK AS,986015574,4,Troms,Tromsø,0.0,,,,,0,,
19
+ 31,9613,Høg-Jæren,2011-05-21T00:00:00,73.6,JÆREN ENERGI AS,982943485,2,Rogaland,"Hå, Time",234.64,2300.0,80.0,93.0,1079.4,32,58.64644471159537,5.754024744426908
20
+ 35,9892,Åsen II,2012-03-07T00:00:00,1.6,SOLVIND ÅSEN AS,997408535,2,Rogaland,Time,4.03,800.0,65.0,48.0,1113.5,2,58.73701165873895,5.753568460380744
21
+ 37,9333,Fakken,2012-06-01T00:00:00,54.0,FAKKEN VIND AS,931657119,4,Troms,Karlsøy,137.9,3000.0,80.0,90.0,1204.3,18,70.10230226366498,20.10762929975084
22
+ 38,9787,Lista,2012-10-27T00:00:00,71.3,LISTA VINDKRAFTVERK AS,981410505,2,Agder,Farsund,224.27,2300.0,80.0,93.0,1065.0,31,58.15566449935221,6.681836050669706
23
+ 39,9893,Ytre Vikna,2012-07-01T00:00:00,39.1,YTRE VIKNA 1 AS,921886292,3,Trøndelag,Nærøysund,107.27,2300.0,64.0,71.0,1593.8,17,64.90148183064446,10.888848877430107
24
+ 40,9774,Valsneset testpark,2012-08-01T00:00:00,0.0,BLAASTER VALSNESET AS,995726149,3,Trøndelag,Ørland,0.0,,,,,0,,
25
+ 43,9588,Midtfjellet,2012-01-01T00:00:00,149.6,MIDTFJELLET VINDKRAFT AS,988440124,2,Vestland,Fitjar,396.17,2720.0,82.2,97.2,970.7,55,59.92929639518118,5.37978343235527
26
+ 46,9894,Raggovidda,2014-09-11T00:00:00,45.0,VARANGER KRAFTVIND AS,998433290,4,Finnmark,Berlevåg,197.48,3000.0,80.0,101.0,1643.2,15,70.75502044612949,29.041696907408976
27
+ 47,10263,Røyrmyra,2015-10-01T00:00:00,2.4,RØYRMYRA VINDPARK AS,814484602,2,Rogaland,Hå,7.89,800.0,65.0,48.0,1453.4,3,58.59055878968318,5.7274246909933115
28
+ 48,10292,Skomakerfjellet,2015-12-31T00:00:00,13.2,MIDGARD VIND AS,921894066,3,Trøndelag,Åfjord,34.15,3300.0,94.0,112.0,866.6,4,64.21547612376511,10.416738123480549
29
+ 49,9998,Rye Vind,2015-11-09T00:00:00,0.225,LARS HOEM,982904730,3,Trøndelag,Trondheim,0.18,225.0,31.0,27.0,314.4,1,63.41816142263258,10.118075090619818
30
+ 50,10361,Egersund,2017-11-09T00:00:00,112.2,NORSK VIND EGERSUND AS,994583085,2,Rogaland,Eigersund,355.35,3400.0,93.0,114.0,1055.0,33,58.42618697886057,6.08410711857729
31
+ 51,10422,Tellenes,2017-08-14T00:00:00,160.0,TELLENES VINDPARK AS,817156622,2,Rogaland,"Sokndal, Lund",547.8,3200.0,95.0,113.0,1092.5,50,58.34358714344067,6.435691532209963
32
+ 52,9970,Hamnefjell,2017-09-04T00:00:00,51.75,HAMNEFJELL VINDKRAFT AS,999177638,4,Finnmark,Båtsfjord,215.86,3450.0,84.0,112.0,1460.7,15,70.67210936128085,29.71101671316259
33
+ 53,9975,Svåheia,2018-02-12T00:00:00,25.2,DALANE VIND AS,997702204,2,Rogaland,Eigersund,80.12,3600.0,87.0,126.0,917.9,7,58.38342974822956,6.087737287912027
34
+ 55,10180,Tindafjellet,2018-03-01T00:00:00,10.35,ASKO FORNYBAR AS,916286074,2,Rogaland,Gjesdal,33.58,3450.0,92.0,117.0,1041.1,3,58.73035744823455,5.948111717548607
35
+ 56,10237,Roan,2018-05-07T00:00:00,255.6,ROAN VIND DA,925736619,3,Trøndelag,Åfjord,760.35,3600.0,87.0,117.0,996.1,71,64.13922066215407,10.298654149206776
36
+ 57,10472,Raskiftet,2018-10-16T00:00:00,111.6,AUSTRI RASKIFTET DA,999292852,1,Innlandet,"Trysil, Åmot",315.74,3600.0,117.0,126.0,816.8,31,61.1995417478755,11.802568456826432
37
+ 60,10194,Ånstadblåheia,2018-10-15T00:00:00,50.4,ÅNSTADBLÅHEIA VINDPARK AS,987069287,4,Nordland,Sortland – Suortá,134.06,3600.0,87.0,126.0,768.0,14,68.72402327877718,15.259676336152586
38
+ 61,10028,Storøy,2018-09-19T00:00:00,6.4,STORØY VINDPARK AS,918614826,2,Rogaland,Karmøy,20.39,3200.0,92.0,115.0,981.5,2,59.41585278130248,5.226862891584241
39
+ 62,10179,Skurvenuten,2018-10-13T00:00:00,6.9,ASKO FORNYBAR AS,916286074,2,Rogaland,Gjesdal,20.52,3450.0,92.0,117.0,954.3,2,58.749430941548184,5.907947450217568
40
+ 64,10101,Marker,2019-02-01T00:00:00,54.0,MARKER VINDPARK AS,915592163,1,Østfold,Marker,181.38,3600.0,142.0,136.0,832.4,15,59.48702662407197,11.727660693039144
41
+ 65,10239,Storheia,2019-06-21T00:00:00,288.0,FOSEN VIND DA,916456077,3,Trøndelag,"Ørland, Åfjord",901.11,3600.0,87.0,117.0,1047.7,80,63.879271336944925,10.159199054548786
42
+ 66,9875,Lindesnes,2019-07-03T00:00:00,7.2,ASKO FORNYBAR AS,916286074,2,Agder,Lindesnes,24.96,3600.0,98.0,112.0,1266.7,2,,
43
+ 67,9914,Skinansfjellet og Gravdal,2019-07-25T00:00:00,138.6,NORSK VIND SKINANSFJELLET AS,991492305,2,Rogaland,"Bjerkreim, Hå",463.42,4200.0,125.0,130.0,1058.0,33,58.58695538926201,5.86072987471466
44
+ 68,9737,Hitra 2,2019-09-02T00:00:00,93.6,FOSEN VIND DA,916456077,3,Trøndelag,Hitra,258.7,3600.0,87.0,117.0,925.5,26,63.501161831291974,8.768180905637783
45
+ 69,10367,Tonstad,2019-09-20T00:00:00,208.3,TONSTAD VINDKRAFT AS,994419439,2,Agder,"Flekkefjord, Sirdal",659.69,4084.3,129.0,142.0,816.8,51,58.53154980641418,6.792802758407887
46
+ 70,10414,Kvitfjell,2019-08-05T00:00:00,197.4,TROMSØ VIND AS,979575289,4,Troms,Tromsø,631.18,4200.0,85.0,130.0,1011.8,47,69.5880577850238,18.13360480557285
47
+ 71,9774,Valsneset vindkraftverk,2019-12-08T00:00:00,12.6,VIMLE AS,920414389,3,Trøndelag,Ørland,42.35,4200.0,82.0,117.0,1313.0,3,,
48
+ 72,9726,Bjerkreim,2019-12-19T00:00:00,155.4,BJERKREIM VIND AS,988034347,2,Rogaland,Bjerkreim,518.47,4200.0,125.0,130.0,1055.7,37,58.586624285114056,5.942891374825707
49
+ 73,10253,Hennøy,2019-12-18T00:00:00,50.4,RENANTIS NORWAY AS,989074687,3,Vestland,Bremanger,145.04,4200.0,82.0,136.0,832.0,12,61.79462615213739,5.148969325600996
50
+ 1073,10015,Stigafjellet,2020-06-22T00:00:00,30.1,EWZ STIGAFJELLET VIND AS,998390966,2,Rogaland,Bjerkreim,106.52,4300.0,115.0,130.0,1146.5,7,58.66548648319405,5.959136474620186
51
+ 1074,10238,Kvenndalsfjellet,2020-06-26T00:00:00,113.4,FOSEN VIND DA,916456077,3,Trøndelag,Åfjord,357.45,4200.0,87.0,117.0,1231.4,27,64.04531073437431,10.15664805912794
52
+ 1075,10016,Måkaknuten,2020-07-09T00:00:00,94.6,EWZ MÅKAKNUTEN VIND AS,917999295,2,Rogaland,"Bjerkreim, Gjesdal",330.27,4300.0,125.0,130.0,1131.0,22,58.66629766299104,5.917376685551209
53
+ 1076,9909,Raudfjell,2020-07-11T00:00:00,84.0,RAUDFJELL VIND AS,988669598,4,Troms,Tromsø,224.28,4200.0,85.0,130.0,844.9,20,69.59096724765043,18.220728020068115
54
+ 1077,9899,Geitfjellet,2020-07-22T00:00:00,180.6,FOSEN VIND DA,916456077,3,Trøndelag,"Heim, Orkland",537.1,4200.0,87.0,136.0,859.8,43,63.36078322488745,9.495063329030103
55
+ 1078,10254,Guleslettene,2020-08-14T00:00:00,197.4,GULESLETTENE VINDKRAFT AS,992528346,3,Vestland,"Kinn, Bremanger",704.87,4200.0,90.0,136.0,1032.4,47,61.684310458061105,5.074491488594011
56
+ 1079,10277,Vardafjellet,2020-07-21T00:00:00,30.1,VARDAFJELLET VINDKRAFT AS,992792353,2,Rogaland,Sandnes,59.79,4300.0,91.0,117.0,794.5,7,58.835071154373914,5.897495379425771
57
+ 1080,9776,Harbaksfjellet,2020-09-10T00:00:00,126.0,FOSEN VIND DA,916456077,3,Trøndelag,Åfjord,393.86,4200.0,87.0,117.0,1221.1,30,64.07258500466067,10.09265507777162
58
+ 1081,9897,Frøya,2020-09-29T00:00:00,58.8,FRØYA VIND AS,921886098,3,Trøndelag,Frøya,177.84,4200.0,112.0,136.0,874.4,14,63.694113579521726,8.656073477051581
59
+ 1082,10213,Kjølberget,2020-10-12T00:00:00,55.9,AUSTRI KJØLBERGET DA,995900971,1,Innlandet,Våler (Innlandet),194.79,4300.0,145.0,150.0,847.9,13,61.02414680826589,12.193949692209554
60
+ 1083,10411,Sørfjord,2020-02-01T00:00:00,98.9,SØRFJORD VINDPARK AS,917201951,4,Nordland,Hamarøy,305.03,4300.0,80.0,130.0,999.2,23,68.03248362070129,16.667669977329446
61
+ 1084,10122,Haram,2021-07-12T00:00:00,33.6,HARAM KRAFT AS,985808546,3,Møre og Romsdal,Haram,103.86,4200.0,82.0,136.0,893.7,8,62.66594329604739,6.197853255483785
62
+ 1085,10350,Sørmarkfjellet,2021-07-29T00:00:00,130.2,SØRMARKFJELLET AS,921886241,3,Trøndelag,"Osen, Flatanger",384.01,4200.0,87.0,117.0,1152.2,31,64.39458644388084,10.706379667044597
63
+ 1086,10269,Øyfjellet,2021-08-25T00:00:00,400.0,ØYFJELLET WIND AS,998127068,4,Nordland,Vefsn,1320.72,5555.6,105.0,149.0,1052.0,72,65.85940219732012,13.010702047570271
64
+ 1087,10278,Stokkfjellet,2021-09-09T00:00:00,88.2,STOKKFJELLET AS,921894295,3,Trøndelag,Selbu,311.39,4200.0,112.0,136.0,1020.7,21,63.1335940422748,11.201002293561816
65
+ 1088,10369,Buheii,2021-09-22T00:00:00,79.8,BUHEII VINDKRAFT AS,996101045,2,Agder,Kvinesdal,271.4,4200.0,105.0,150.0,808.3,19,58.65673851041252,6.877819978918413
66
+ 1089,10374,Tysvær,2021-10-21T00:00:00,47.3,TYSVÆR VINDPARK AS,986736565,2,Rogaland,Tysvær,143.66,4300.0,85.0,130.0,983.9,11,59.3114569955661,5.584034204330512
67
+ 1090,9894,Raggovidda 2,2021-11-10T00:00:00,51.6,VARANGER KRAFTVIND AS,998433290,4,Finnmark,Berlevåg,216.0,4300.0,80.0,130.0,1356.1,12,70.75502044612949,29.041696907408976
68
+ 1091,10100,Okla,2021-11-15T00:00:00,21.0,RENANTIS NORWAY AS,989074687,3,Vestland,Stad,75.0,4200.0,90.0,117.0,1395.2,5,62.15914639963619,5.244241130933959
69
+ 1092,9811,Lutelandet,2021-10-27T00:00:00,51.3,LUTELANDET ENERGIPARK AS,993501972,3,Vestland,Fjaler,148.57,5700.0,105.0,149.0,946.7,9,61.25097977611598,4.961545685239432
70
+ 1093,10070,Gismarvik,2021-09-06T00:00:00,12.6,GISMARVIK VINDKRAFT AS,999102808,2,Rogaland,Tysvær,43.41,4200.0,131.0,138.0,967.4,3,59.323025153085005,5.432990576892313
71
+ 1094,10121,Odal,2021-12-23T00:00:00,163.2,ODAL VINDKRAFTVERK AS,924824905,1,Innlandet,Nord-Odal,530.2,4800.0,144.0,145.0,944.4,34,60.34308326237625,11.483261304843094
72
+ 1095,10097,Dønnesfjord,2022-12-18T00:00:00,14.1,DØNNESFJORD VINDPARK AS,996746062,4,Finnmark,Hasvik,56.14,2350.0,69.0,92.0,1407.5,6,70.63703476765932,22.468380259593346
73
+ 1096,10473,Nye Sandøy,2023-09-20T00:00:00,4.25,SANDØY VINDKRAFT AS,979488424,3,Møre og Romsdal,Ålesund,12.0,850.0,52.0,52.0,1130.1,5,,
nve-windpower-timeseries.csv ADDED
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