Convolutional Neural Network for Short-term Solar Panel Output Prediction

被引：0
|
作者：
Sun, Yuchi [1 ]
Venugopal, Vignesh [1 ]
Brandt, Adam R. [1 ]
机构：
[1] Stanford Univ, Stanford, CA 94305 USA
来源：
2018 IEEE 7TH WORLD CONFERENCE ON PHOTOVOLTAIC ENERGY CONVERSION (WCPEC) (A JOINT CONFERENCE OF 45TH IEEE PVSC, 28TH PVSEC & 34TH EU PVSEC) | 2018年
关键词：
solar power prediction; convolutional neural networks; machine learning; photovoltaic cells; IRRADIANCE;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The volatility of cloud movement introduced a large amount of uncertainty in short-term solar power prediction, which complicates modern power grid's operation. This work employs a specialized CNN model SUNSET, that utilizes both sky images and solar panel output history as input to predict 15-minute ahead solar panel generation. On a full year database, the model achieves 26.2% forecast skill on the sunny test set, and 16.1% forecast skill on the cloudy dataset. Both sky images and PV output history are shown to be pivotal model input, and two minutes is shown to be a suitable sampling frequency for this application.
引用
收藏
页码：2357 / 2361
页数：5
相关论文
共 50 条
  • [1] A smart short-term solar power output prediction by artificial neural network
    Erduman, Ali
    [J]. ELECTRICAL ENGINEERING, 2020, 102 (03) : 1441 - 1449
  • [2] A smart short-term solar power output prediction by artificial neural network
    Ali Erduman
    [J]. Electrical Engineering, 2020, 102 : 1441 - 1449
  • [3] Short-term solar irradiance prediction based on spatiotemporal graph convolutional recurrent neural network
    Yu, Yunjun
    Hu, Guoping
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2022, 14 (05)
  • [4] A Convolutional Long Short-Term Memory Neural Network Based Prediction Model
    Tian, Y. H.
    Wu, Q.
    Zhang, Y.
    [J]. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 15 (05) : 1 - 12
  • [5] Short-term prediction of solar proton events by neural network method
    Gong, JC
    Xue, BS
    Liu, SQ
    Zou, ZM
    Miao, J
    Wang, JL
    [J]. CHINESE ASTRONOMY AND ASTROPHYSICS, 2004, 28 (02) : 174 - 182
  • [6] Short-Term Solar Power Prediction Using an RBF Neural Network
    Zeng, Jianwu
    Qiao, Wei
    [J]. 2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [7] A new spatiotemporal convolutional neural network model for short-term crash prediction
    Cai, Bowen
    Camarcat, Leah
    Shang, Wen-long
    Quddus, Mohammed
    [J]. FRONTIERS OF ENGINEERING MANAGEMENT, 2024,
  • [8] Short-Term Passenger Flow Prediction Using a Bus Network Graph Convolutional Long Short-Term Memory Neural Network Model
    Baghbani, Asiye
    Bouguila, Nizar
    Patterson, Zachary
    [J]. TRANSPORTATION RESEARCH RECORD, 2023, 2677 (02) : 1331 - 1340
  • [9] Short-term solar power forecasting based on convolutional neural network and analytical knowledge
    Zhou, Yangjun
    Pan, Shuhui
    Qin, Liwen
    Yuan, Zhiyong
    Huang, Weixiang
    Bai, Hao
    Lei, Jinyong
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (11):
  • [10] Short-Term Prediction of Ship Roll Motion in Waves Based on Convolutional Neural Network
    Hou, Xianrui
    Xia, Sijun
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (01)
12345