Prediction of Electricity Generation Using Onshore Wind and Solar Energy in Germany
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- Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
- Tao Hong & Pierre Pinson & Yi Wang & Rafal Weron & Dazhi Yang & Hamidreza Zareipour, 2020. "Energy forecasting: A review and outlook," WORking papers in Management Science (WORMS) WORMS/20/08, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
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Keywords
forecasting; solar energy; onshore wind; weather parameter; deep learning; Transformer; LSTM;All these keywords.
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