Short-Term Wind Power Prediction Based on Feature Crossover Mechanism and Error Compensation

被引:0
|
作者
Liu, Yujia [1 ]
Fan, Yanfang [1 ]
Bai, Xueyan [1 ]
Song, Yulu [1 ]
Hao, Ruixin [1 ]
机构
[1] School of Electrical Engineering, Xinjiang University, Urumchi,830092, China
关键词
D O I
10.19595/j.cnki.1000-6753.tces.220477
中图分类号
学科分类号
摘要
引用
收藏
页码:3277 / 3288
相关论文
共 50 条
  • [1] Ultra short-term wind power prediction based on lightweight learning machine with error compensation
    Qian, Huifang
    Luo, Yunhao
    Zhou, Xuan
    Li, Ren-Ying
    Guo, Jiahao
    [J]. INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2024, 46 (05)
  • [2] Short-term wind power prediction and error analysis
    Ma, Rui
    Wang, Lingling
    Hu, Shuju
    [J]. RENEWABLE ENERGY AND ENVIRONMENTAL TECHNOLOGY, PTS 1-6, 2014, 448-453 : 1851 - 1857
  • [3] Short-Term Wind Power Forecasting Based on Feature Analysis and Error Correction
    Liu, Zifa
    Li, Xinyi
    Zhao, Haiyan
    [J]. ENERGIES, 2023, 16 (10)
  • [4] Short-term wind power prediction based on multidimensional data cleaning and feature reconfiguration
    Wang, Shuai
    Li, Bin
    Li, Guanzheng
    Yao, Bin
    Wu, Jianzhong
    [J]. APPLIED ENERGY, 2021, 292
  • [5] Short-Term Wind Power Prediction Based on Multi-Feature Domain Learning
    Xue, Yanan
    Yin, Jinliang
    Hou, Xinhao
    [J]. ENERGIES, 2024, 17 (13)
  • [6] Short-term wind power prediction based on extreme learning machine with error correction
    Zhi Li
    Lin Ye
    Yongning Zhao
    Xuri Song
    Jingzhu Teng
    Jingxin Jin
    [J]. Protection and Control of Modern Power Systems, 2016, 1 (1)
  • [7] Short-Term Wind Power Prediction Based on Feature-Weighted and Combined Models
    Yin, Deyang
    Zhao, Lei
    Zhai, Kai
    Zheng, Jianfeng
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (17):
  • [8] Short-term wind power prediction based on extreme learning machine with error correction
    Li, Zhi
    Ye, Lin
    Zhao, Yongning
    Song, Xuri
    Teng, Jingzhu
    Jin, Jingxin
    [J]. PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2016, 1 (01)
  • [9] Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
    Qu Xiaoyun
    Kang Xiaoning
    Zhang Chao
    Jiang Shuai
    Ma Xiuda
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1148 - 1152
  • [10] Short-term wind power prediction based on combined long short-term memory
    Zhao, Yuyang
    Li, Lincong
    Guo, Yingjun
    Shi, Boming
    Sun, Hexu
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (05) : 931 - 940