排序方式:
1.Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction
Wang, Y, Wang, JZ, L
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Wang, Y, Wang, JZ, Li, ZW, Yang, HF, Li, HM
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ENERGY[0360-5442],
Published 2021,
Volume 231,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 49
2023影響因子:
9.0
发表年影響因子:
8.857
2.A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization
Guo, HG, Wang, JZ, L
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Guo, HG, Wang, JZ, Li, ZW, Jin, Y
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ENERGY[0360-5442],
Published 2022,
Volume 239,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 28
2023影響因子:
9.0
发表年影響因子:
8.9
3.A novel combined forecasting model based on neural networks, deep learning approaches, and multi-objective optimization for short-term wind speed forecasting
Wang, Jianzhou, Li,
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Wang, Jianzhou, Li, Zhiwu, An, Yining, Lu, Haiyan
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Energy[0360-5442],
Published 2022,
Volume 251,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 32
2023影響因子:
9.0
发表年影響因子:
8.9
4.A novel combined forecasting system based on advanced optimization algorithm-A study on optimal interval prediction of wind speed
Li, JR, Wang, JY, Li
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Li, JR, Wang, JY, Li, ZW
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ENERGY[0360-5442],
Published 2023,
Volume 264,
收錄情况:
WOS
SCOPUS
WOS核心合集引用: 13
2023影響因子:
9.0
发表年影響因子:
9.0