A hybrid method for short-term wind speed forecasting based on Bayesian optimization and error correction
Author:
Affiliation:
1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, People's Republic China
2. School of science, Lanzhou University of Technology, Lanzhou 730050, People's Republic China
Funder
Postdoctoral Research Foundation of China
Hongliu Outstanding Talents Program of Lanzhou University of Technology
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0048686
Reference48 articles.
1. Renewable transitions and the net energy from oil liquids: A scenarios study
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5. Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration
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