![]() Share of wind_onshore capacity producing in Germany Share of wind_offshore capacity producing in GermanyĮlectrical capacity of wind_onshore in Germany in MWĪctual wind_onshore generation in Germany in MW Share of wind capacity producing in GermanyĮlectrical capacity of wind_offshore in Germany in MWĪctual wind_offshore generation in Germany in MW Own calculation based on ENTSO-E Transparency Own calculation based on ENTSO-E Transparency and BNetzA and Įlectrical capacity of wind in Germany in MW Share of solar capacity producing in Germany Total load in Germany in MW as published on ENTSO-E Transparency Platformĭay-ahead load forecast in Germany in MW as published on ENTSO-E Transparency PlatformĮlectrical capacity of solar in Germany in MW Total load in Belgium in MW as published on ENTSO-E Transparency Platformĭay-ahead load forecast in Belgium in MW as published on ENTSO-E Transparency Platform Total load in Austria in MW as published on ENTSO-E Transparency Platformĭay-ahead load forecast in Austria in MW as published on ENTSO-E Transparency PlatformĪctual wind_onshore generation in Austria in MW Start of timeperiod in Central European (Summer-) Time Start of timeperiod in Coordinated Universal Time Time series 15min singleindex.csv Field Name (Primary data from various sources, for a complete list see URL)." Stacked (compatible with data package standard, large file size, many rows, too many for Excel)ĭownload alternatives to "time_series_60min_singleindex.csv":Īttribution in Chicago author-date style should be given as follows: "Open Power System Data.Multiindex (easy to read into GAMS, not compatible with datapackage standard, small file size).Singleindex (easy to read for humans, compatible with datapackage standard, small file size).The three formats differ in the way data and variable names are organized: We provide time series data in two file types (csv and xlsx), two granularities (15 min and 60 min), and three formats (singleindex, multiindex, stacked). Time_series_15min_singleindex.csv (107 MB)Īlternative formats for "time_series_60min_singleindex.csv" All data processing is conducted in Python/pandas and has been documented in the Jupyter notebooks linked below.ĭocumentation and script ( view on GitHub) See previous versions for historical data from a broader range of sources. This package version only contains data provided by TSOs and power exchanges via ENTSO-E Transparency, covering the period 2015-mid 2020. ![]() Where original data is available in higher resolution (half-hourly or quarter-hourly), it is provided in separate files. All variables are provided in hourly resolution. Geographical coverage includes the EU and some neighbouring countries. The data is aggregated either by country, control area or bidding zone. This data package contains different kinds of timeseries data relevant for power system modelling, namely electricity prices, electricity consumption (load) as well as wind and solar power generation and capacities. ![]() Load, wind and solar, prices in hourly resolution ![]()
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