Short-term Power Prediction of Wind Power Cluster Based on SDAE Deep Learning and Multiple Integration

被引：0
|
作者：
Li, Cong [1 ]
Peng, Xiaoseng [1 ]
Wang, Haohuai [2 ]
Che, Jianfeng [3 ]
Wang, Bo [3 ]
Liu, Chun [3 ]
机构：
[1] State Key Laboratory of Strong Electromagnetic Engineering and New Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan,430074, China
[2] Power Dispatching Control Center of China Southern Power Grid, Guangzhou,510623, China
[3] State Key Laboratory of New Energy and Storage Operation Control, China Electric Power Research Institute, Beijing,100192, China
来源：
Gaodianya Jishu/High Voltage Engineering | 2022年 / 48卷 / 02期
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Deep learning - Integration - Mean square error - Signal processing - Support vector machines - Wavelet decomposition - Weather forecasting
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收藏
页码：504 / 512
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