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
  • [21] Short-term output power forecasting of photovoltaic systems based on the deep belief net
    Li, Ling-Ling
    Cheng, Peng
    Lin, Hsiung-Cheng
    Dong, Hao
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (09): : 1 - 13
  • [22] A new method for short-term photovoltaic power generation forecast based on ensemble model
    Zhang, Yunxiu
    Li, Bingxian
    Han, Zhiyin
    [J]. AIP ADVANCES, 2024, 14 (09)
  • [23] Short-term Load Forecasting Based on Deep Belief Network
    Kong, Xiangyu
    Zheng, Feng
    E, Zhijun
    Cao, Jing
    Wang, Xin
    [J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2018, 42 (05): : 133 - 139
  • [24] Ultra-Short-Term Wind Power Forecasting Based on Deep Belief Network
    Wang, Sen
    Sun, Yonghui
    Zhai, Suwei
    Hou, Dongchen
    Wang, Peng
    Wu, Xiaopeng
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7479 - 7483
  • [25] Short-term Forecast for Photovoltaic Power Generation and Development of Measuring Equipment
    Kobayashi, Hiroaki
    Arai, Junichi
    [J]. 2014 7TH INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION FOR SUSTAINABILITY (ICIAFS), 2014,
  • [26] Forecast on Short-Term Wind Speed and Wind Farm Power Generation
    Cheng, Yiping
    [J]. PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015), 2016, 47 : 80 - 86
  • [27] A hybrid deep learning model for short-term PV power forecasting
    Li, Pengtao
    Zhou, Kaile
    Lu, Xinhui
    Yang, Shanlin
    [J]. APPLIED ENERGY, 2020, 259
  • [28] A Novel Hybrid Model for Short-Term Forecasting in PV Power Generation
    Wu, Yuan-Kang
    Chen, Chao-Rong
    Rahman, Hasimah Abdul
    [J]. INTERNATIONAL JOURNAL OF PHOTOENERGY, 2014, 2014
  • [29] Short-term wind power forecast based on MOSTAR model
    Chen, Hao
    Zhang, Jianzhong
    Xu, Chao
    Tan, Fenglei
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (01): : 73 - 79
  • [30] Short-term wind power forecast based on ARX models
    Duran, Mario J.
    Cros, Daniel
    Riquelme, Jesus
    [J]. JOURNAL OF ENERGY ENGINEERING-ASCE, 2007, 133 (03): : 172 - 180
12345