Solar hourly generation time series at country, NUTS 1, NUTS 2 level and bidding zones

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Dataset information

Country of origin
Updated
2017.06.01 00:00
Created
2017.06.01
Available languages
English
Keywords
hourly time series, SETIS, solar energy, power generation
Quality scoring
270

Dataset description

EMHIRES is the first publically available European solar power generation dataset derived from meteorological sources that is available up to NUTS-2 level. It was generated applying the PVGIS model to capture local geographical information to generate meteorologically derived solar power time series at high temporal and spatial resolution. This allows for a better understanding of the solar resource at the precise location of wind farms. Additional or ongoing publications: - Gonzalez-Aparicio, I. and Zucker A (2015) Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain. Applied Energy Journal, Vol 159, 334-349. doi:10.1016/j.apenergy.2015.08.104 - Gonzalez-Aparicio, I; Monforti, I; Zucker, A; Careri, F; Huld, T; Volker, P; Badger, J (2017) Simulating European wind power generation applying statistical downscaling to reanalysis data. Applied Energy 199, 155-168 - Monforti, F; Gonzalez-Aparicio I (2017) Comparing the impact of uncertainties on technical and meteorological parametners in wind power time series modelling in the European Union. Applied Energy (under review)
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