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1.Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression
Wang, JZ, Wang, S, L
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Wang, JZ, Wang, S, Li, ZW
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RENEWABLE ENERGY[0960-1481],
Published 2021,
Volume 179,
Pages 1246-1261
收錄情况：
WOS
SCOPUS
WOS核心合集引用: 36
2023影響因子:
9.0
发表年影響因子:
8.634
2.An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China
Li, Jingrui, Wang, J
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Li, Jingrui, Wang, Jianzhou, Zhang, Haipeng, Li, Zhiwu
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Renewable Energy[0960-1481],
Published 2022,
Volume 201,
Pages 766-779
收錄情况：
WOS
SCOPUS
WOS核心合集引用: 15
2023影響因子:
9.0
发表年影響因子:
8.7
