- 专利标题: Method and System for Multi-Step Prediction of Future Wind Speed Based on Automatic Reservoir Neural Network
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申请号: US18041497申请日: 2021-07-13
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公开(公告)号: US20230305187A1公开(公告)日: 2023-09-28
- 发明人: Luonan Chen , Pei Chen , Rui Liu
- 申请人: Pei Chen , Rui Liu , Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences
- 申请人地址: CN Guangzhou
- 专利权人: Pei Chen,Rui Liu,Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences
- 当前专利权人: Pei Chen,Rui Liu,Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences
- 当前专利权人地址: CN Guangzhou
- 优先权: CN 2010818836.8 2020.08.14
- 国际申请: PCT/CN2021/105931 2021.07.13
- 进入国家日期: 2023-02-13
- 主分类号: G01W1/02
- IPC分类号: G01W1/02
摘要:
The invention discloses a multi-step prediction method and system of future wind speed based on automatic reservoir neural network, realizes accurate and fast multi-step prediction of future information, maintains high robustness to noise and system time-varying, and avoids over-fitting problems. The technical scheme is: for short-term high-dimensional wind speed data, based on the delay embedding theory, the observed high-dimensional dynamics is used as the reservoir by using space-time information transformation, and the high-dimensional wind speed data is mapped to the future information of the target variable. The automatic reservoir neural network realizes the multi-step prediction of the target variable by solving a pair of conjugate space-time information interaction equations.
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