Short-term power generation forecast of PV power station based on deep belief network

被引：0
|
作者：
Zhao, Liang [1 ]
Liu, Youbo [1 ]
Yu, Lina [2 ]
Liu, Junyong [1 ]
机构：
[1] School of Electrical Engineering and Information, Sichuan University, Chengdu,610065, China
[2] China Three Gorges New Energy Limited Company Southwest Branch, Chengdu,610041, China
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 18期
关键词：
21;
D O I：
10.19783/j.cnki.pspc.181368
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：11 / 19
相关论文
共 50 条
  • [1] Short-term wind power prediction based on deep belief network
    Yuan, Guili
    Wu, Zhenmin
    Liu, Huaqi
    Yu, Jianfang
    Fang, Fang
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (02): : 451 - 457
  • [2] Short-term Wind Power Forecasting Method Based on Deep Recurrent Belief Network
    Li, Hongzhong
    Fu, Guo
    Sun, Weiqing
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45 (15): : 85 - 92
  • [3] Short-Term Photovoltaic Power Forecast Based on Long Short-Term Memory Network
    Shi, Min
    Xu, Ke
    Wang, Jue
    Yin, Rui
    Wang, Tieqiang
    Yong, Taiyou
    Hongyuan, Tianjin
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC), 2019, : 2110 - 2116
  • [4] Short-Term Power Forecast Research of PV Array Based on Elman Algorithm
    Li, Lianbing
    Zhang, Jia
    Han, Jingnan
    Wang, Zewei
    Ma, Yuxiao
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2017, 38 (06): : 1560 - 1566
  • [5] A Short-Term Photovoltaic Power Generation Forecast Method Based on LSTM
    Li, Yang
    Ye, Feng
    Liu, Zihao
    Wang, Zhijian
    Mao, Yupeng
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [6] Short-term Power Load Forecasting with Deep Belief Network and Copula Models
    He, Yusen
    Deng, Jiahao
    Li, Huajin
    [J]. 2017 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2017), VOL 1, 2017, : 191 - 194
  • [7] Swarm Decomposition Technique Based Hybrid Model for Very Short-Term Solar PV Power Generation Forecast
    Dokur, Emrah
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2020, 26 (03) : 79 - 83
  • [8] Short-term prediction of wind power using an improved kernel based optimized deep belief network
    Sarangi, Snigdha
    Dash, Pradipta Kishore
    Bisoi, Ranjeeta
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2024, 316
  • [9] Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network
    Ouyang, Tinghui
    He, Yusen
    Li, Huajin
    Sun, Zhiyu
    Baek, Stephen
    [J]. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2019, 3 (02): : 127 - 136
  • [10] Short-Term Forecast Analysis on Wind Power Generation Data
    Nair, Arun Sukumaran
    Ranganathan, Prakash
    Finley, Cathy
    Kaabouch, Naima
    [J]. 2021 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC), 2021,
12345