Probability Prediction for Offshore Wind Farm Power Based on AGCN-LSTM Model

被引：0
|
作者：
Su, Xiangjing [1 ]
Cheng, Zifan [2 ]
Nie, Liangzhao [3 ]
Fu, Yang [1 ]
机构：
[1] Offshore Wind Power Research Institute, Shanghai University of Electric Power, Shanghai,200090, China
[2] School of Electrical Engineering, Shanghai University of Electric Power, Shanghai,200090, China
[3] China Resources Power (Hubei) Sales Co., Ltd., Wuhan,430000, China
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 22期
关键词：
27;
D O I：
10.7500/AEPS20231209002
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：140 / 149
相关论文
共 50 条
  • [41] Short-Term Prediction of Wind Power Based on Adaptive LSTM
    Xu, Gang
    Xia, Lu
    2018 2ND IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2018,
  • [42] Offshore Wind Power Foundation Corrosion Rate Prediction Model Based on Improved SHO Algorithm
    Zhang, Fan
    Zhang, Feng
    Zou, Hongbo
    Ma, Hengrui
    Wang, Hongxia
    PROCESSES, 2024, 12 (06)
  • [43] A multivariable hybrid prediction model of offshore wind power based on multi-stage optimization and reconstruction prediction
    Wang, Hao
    Ye, Jingzhen
    Huang, Linxuan
    Wang, Qiang
    Zhang, Haohua
    ENERGY, 2023, 262
  • [44] Monitoring offshore wind farm power performance with SCADA data and an advanced wake model
    Mittelmeier N.
    Blodau T.
    Kühn M.
    Wind Energy Science, 2017, 2 (01) : 175 - 187
  • [45] Power Flow Calculation for Power System including Offshore Wind Farm
    Zhang Wei
    Wei Zhinong
    Sun Guoqiang
    2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4, 2009, : 1418 - +
  • [46] Prediction of Compression Coefficients Based on Machine Learning: A Case of Offshore Wind Farm Site
    Ye C.
    Sun H.
    Niu F.
    Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2025, 49 (1) : 255 - 270
  • [47] Short-term prediction of wind power generation based on VMD-GSWOA-LSTM model
    Yang, Tongguang
    Li, Wanting
    Huang, Zhiliang
    Peng, Li
    Yang, Jingyu
    AIP ADVANCES, 2023, 13 (08)
  • [48] Estimation of Wind Farm Losses Using a Jensen Model Based on Actual Wind Turbine Characteristics for an Offshore Wind Farm in the Baltic Sea
    Malecha, Ziemowit
    Chorowski, Maciej
    COMPUTATION, 2025, 13 (01)
  • [49] Comparative analysis of prediction errors based on offshore wind power characteristics
    Yan J.
    Gao C.
    Yu G.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2020, 26 (03): : 648 - 654
  • [50] Offshore wind power output prediction based on convolutional attention mechanism
    Xie, Pingping
    Liu, Yang
    Yang, Yinguo
    Lin, Xu
    Chen, Yue
    Hu, Xudong
    Li, Li
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (04) : 13041 - 13056
12345