Ahead of Print article · Journal article
Energy Forecasting: A Review and Outlook
University of North Carolina at Charlotte1
Department of Electrical Engineering, Technical University of Denmark2
Center for Electric Power and Energy, Centers, Technical University of Denmark3
Energy Analytics and Markets, Center for Electric Power and Energy, Centers, Technical University of Denmark4
Swiss Federal Institute of Technology Zurich5
Wrocław University of Science and Technology6
Singapore Institute of Manufacturing Technology7
University of Calgary8
Forecasting has been an essential part of the power and energy industry. Researchers and practitioners have contributed thousands of papers on forecasting electricity demand and prices, and renewable generation (e.g., wind and solar power). This article offers a brief review of influential energy forecasting papers; summarizes research trends; discusses importance of reproducible research and points out six valuable open data sources; makes recommendations about publishing high-quality research papers; and offers an outlook into the future of energy forecasting.
Language: | English |
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Publisher: | IEEE |
Year: | 2020 |
Pages: | 376-388 |
ISSN: | 26877910 |
Types: | Ahead of Print article and Journal article |
DOI: | 10.1109/OAJPE.2020.3029979 |
ORCIDs: | 0000-0003-2421-7290 , 0000-0003-1143-0666 , 0000-0003-1619-5239 , 0000-0003-2162-6873 , 0000-0003-2889-0386 and Pinson, Pierre |
Electricity price forecasting Energy forecasting Load forecasting SDG 7 - Affordable and Clean Energy Solar forecasting Wind forecasting
Distribution or transmission of electric power Forecasting Industries Open Access Probabilistic logic Production of electric energy or power. Powerplants. Central stations TK1001-1841 TK3001-3521 Wind power generation electricity price forecasting electricity supply industry energy forecasting energy industry forecasting electricity demand load forecasting power industry pricing renewable generation reviews solar forecasting solar power wind forecasting wind power