Prediction method of wind power output based on a Bayes-LSTM network

被引:0
|
作者
Chen, Feng [1 ]
Yu, Yi [1 ]
Xu, Jingyou [1 ]
Yang, Jie [1 ]
Chen, Ke [1 ]
Zhang, Tiandong [2 ]
Guo, Lufang [3 ]
Zheng, Zijian [3 ]
Hu, Po [3 ]
机构
[1] State Grid Hubei Electric Power Company Limited Economic Research Institute, Wuhan,430077, China
[2] State Grid Shijiazhuang Power Supply Company, Shijiazhuang,050000, China
[3] School of Electrical Engineering and Automation, Wuhan University, Wuhan,430072, China
关键词
D O I
10.19783/j.cnki.pspc.220817
中图分类号
学科分类号
摘要
27
引用
收藏
页码:170 / 178
相关论文
共 50 条
  • [1] A Short-Term Rolling Prediction-Correction Method for Wind Power Output Based on LSTM and Markov Chain
    Ren, Chen
    Gu, Jiping
    Tian, Shuxin
    Zhou, Jian
    Shi, Shanshan
    Fu, Yang
    [J]. 2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021), 2021, : 574 - 580
  • [2] Wind vector prediction method based on LSTM
    Zhu, Tianyu
    Ye, Qiang
    Hao, Jianshu
    Gao, Chaoyue
    Yang, Jiaqi
    [J]. Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (11): : 111 - 116
  • [3] Power Transformer Operating State Prediction Method Based on an LSTM Network
    Song, Hui
    Dai, Jiejie
    Luo, Lingen
    Sheng, Gehao
    Jiang, Xiuchen
    [J]. ENERGIES, 2018, 11 (04)
  • [4] Prediction of wind power generation output and network operation
    Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan
    [J]. Integr. of Distrib. Energy Resour. in Power Syst.: Implement., Oper. and Control, 1600, (109-131):
  • [5] A Network Traffic Prediction Method Based on LSTM
    WANG Shihao
    ZHUO Qinzheng
    YAN Han
    LI Qianmu
    QI Yong
    [J]. ZTE Communications, 2019, 17 (02) : 19 - 25
  • [6] Ultra-short-term Wind Power Prediction Method Based on IDSCNN-AM-LSTM Combination Neural Network
    Li, Zhuo
    Ye, Lin
    Dai, Binhua
    Yu, Yijun
    Luo, Yadi
    Song, Xuri
    [J]. Gaodianya Jishu/High Voltage Engineering, 2022, 48 (06): : 2117 - 2129
  • [7] Prediction Method for Power Transformer Running State Based on LSTM_DBN Network
    Lin, Jun
    Su, Lei
    Yan, Yingjie
    Sheng, Gehao
    Xie, Da
    Jiang, Xiuchen
    [J]. ENERGIES, 2018, 11 (07):
  • [8] A Definition and Prediction Method for Wind Power Low Output Events
    Xiong, Yuhan
    Peng, Xiaosheng
    Zhou, Chaohui
    Wang, Qingliang
    [J]. 2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 2335 - 2340
  • [9] An Ultrashort-Term Wind Power Prediction Method Based on a Switching Output Mechanism
    Feng, Rongqiang
    Wang, Biheng
    Wu, Xueqiong
    Huang, Chenxi
    Zhao, Lei
    Tang, Wei
    Zhang, Kun
    Huang, Xiaoming
    Ding, Wei
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2023, 2023
  • [10] Prediction of Combination Probability Interval of Wind Power Based on Naive Bayes
    Yang, Xiyun
    Zhang, Yanfeng
    Ye, Tianze
    Su, Jie
    [J]. Gaodianya Jishu/High Voltage Engineering, 2020, 46 (03): : 1096 - 1104