Ramp events forecasting based on long‐term wind power prediction and correction
Author:
Affiliation:
1. Department of Electrical and Computer EngineeringUniversity of AlbertaABCanada
2. School of Electrical EngineeringWuhan UniversityWuhanPeople's Republic of China
3. Department of Mechanical and Industrial EngineeringUniversity of IowaIAUSA
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.2019.0093
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5. Optimisation of time window size for wind power ramps prediction;Ouyang T.;IET Renew. Power Gener.,2016
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