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Significant wave height prediction through artificial intelligent mode decomposition for wave energy management
The prediction of significant wave height (SWH) is crucial for managing wave energy. While many machine learning studies have focused …
Yaoran Chen
,
Dan Zhang
,
Xiaowei Li
,
Yan Peng
,
Chuhan Wu
,
Huayan Pu
,
Dai Zhou
,
Yong Cao
,
Jiujun Zhang
PDF
DOI
2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model
Short-term wind speed forecast is of great importance to wind farm regulation and its early warning. Previous studies mainly focused on …
Yaoran Chen
,
Yan Wang
,
Zhikun Dong
,
Jie Su
,
Zhaolong Han
,
Dai Zhou
,
Yongsheng Zhao
,
Yan Bao
PDF
DOI
中科院一区
Energy Conversion and Management
Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history
Accurate short-term wind speed prediction is of great significance for early warning and regulation of wind farms. At present, the …
Yaoran Chen
,
Zhikun Dong
,
Yan Wang
,
Jie Su
,
Zhaolong Han
,
Dai Zhou
,
Kai Zhang
,
Yongsheng Zhao
,
Yan Bao
PDF
DOI
中科院一区
Energy Conversion and Management
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