Machine Learning improves Forecast Accuracy for wind Power Generation Improvements in the Percent Range

被引：0
|
作者：
不详
机构：
来源：
BWK | 2011年 / 63卷 / 09期
关键词：
D O I：
暂无
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
引用
收藏
页码：36 / +
页数：2
相关论文
共 50 条
  • [41] Improving Wind Power Forecast Accuracy for Optimal Hybrid System Energy Management
    Rim, Ben Ammar
    Mohsen, Ben Ammar
    Oualha, Abdelmajid
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2024, 146 (09):
  • [42] Power Load Forecast for North Macedonia Using Machine Learning
    Popovski, Pande
    Kostov, Mitko
    Atanasovski, Metodija
    Veljanovski, Goran
    2020 55TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES (IEEE ICEST 2020), 2020, : 106 - 109
  • [43] Enhancing the accuracy of wind power projections under climate change using geospatial machine learning models
    Moradian, Sogol
    Gharbia, Salem
    Nezhad, Meysam Majidi
    Olbert, Agnieszka Indiana
    ENERGY REPORTS, 2024, 12 : 3353 - 3363
  • [44] SCADA system dataset exploration and machine learning based forecast for wind turbines
    Singh, Upma
    Rizwan, M.
    RESULTS IN ENGINEERING, 2022, 16
  • [45] Application of Battery Storage for Compensation of Forecast Errors of Wind Power Generation in 2050
    Cai, Zhuang
    Bussar, Christian
    Stoecker, Philipp
    Moraes, Luiz, Jr.
    Magnor, Dirk
    Leuthold, Matthias
    Sauer, Dirk Uwe
    9TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2015, 2015, 73 : 208 - 217
  • [46] Probabilistic Forecast of Wind Power Generation with Data Processing and Numerical Weather Predictions
    Wu, Yuan-Kang
    Wu, Yun-Chih
    Hong, Jing-Shan
    Le Ha Phan
    Dung Phan Quoc
    2020 IEEE/IAS 56TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2020,
  • [47] Short term forecast of wind power generation based on SVM with pattern matching
    Zhu, Ziming
    Zhou, Doudou
    Fan, Zhong
    2016 IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON), 2016,
  • [48] Probabilistic Forecast of Wind Power Generation With Data Processing and Numerical Weather Predictions
    Wu, Yuan-Kang
    Wu, Yun-Chih
    Hong, Jing-Shan
    Phan, Le Ha
    Quoc Dung Phan
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (01) : 36 - 45
  • [49] A Wind Power Scenario Generation Method Based on Copula Functions and Forecast Errors
    Yoo, Jaehyun
    Son, Yongju
    Yoon, Myungseok
    Choi, Sungyun
    SUSTAINABILITY, 2023, 15 (23)
  • [50] A conditional model of wind power forecast errors and its application in scenario generation
    Wang, Zhiwen
    Shen, Chen
    Liu, Feng
    APPLIED ENERGY, 2018, 212 : 771 - 785
12345