High-resolution working layouts and time series for renewable energy generation in Europe

Oliver Grothe, Fabian Kächele and Mira Wälde

Renewable Energy, 2025, vol. 239, issue C

Abstract: The stability and manageability of power systems with a growing share of renewable energies depend on accurate forecasts and feed-in information. This study provides synthetic wind and solar power generation time series for approximately 1,500 European transmission nodes in hourly resolution from 2019 to 2022, along with data-driven layouts of renewable generator allocations. To create these time series and layouts, we develop weather-to-energy conversions using high-resolution weather data. Based on the conversions and elastic-net optimisation, the layouts, which we refer to as working layouts, represent a theoretical allocation of generators within each country that produces the current (or alternatively any historical) observed energy output characteristics based on the weather data. This work provides the necessary code to update and adapt layouts and time series for use in custom applications.

Keywords: Renewable energy capacity layout; Renewable generation; Weather-to-energy conversion; Solar power; Wind power; Electricity grid (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:239:y:2025:i:c:s0960148124020354

DOI: 10.1016/j.renene.2024.121967

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