Demystifying the use of ERA5‐land and machine learning for wind power forecasting
Author:
Affiliation:
1. DRAMCODepartment of Electrical Engineering (ESAT)KU LeuvenBelgium
2. Faculty of Computer and Information ScienceUniversity of LjubljanaSlovenia
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2020.0576
Reference51 articles.
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3. Isolated power system in russia: a chance for renewable energies?;Lombardi P.;Renew. Energy,2016
4. Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in europe;Child M.;Renew. Energy,2019
5. Status and perspectives on 100% renewable energy systems;Hansen K.;Energy,2019
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