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Review of wind power forecasting methods: From multi-spatial and temporal perspective

  • Tsinghua University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

15 引用 (Scopus)

摘要

Wind power is one of the most popular renewables and occupies a great proportion in the total capacity of the grid system. Secure operations of the grid system such as scheduling and dispatching dependent much on the prediction accuracy of power generation. This paper reviews wind power forecasting methods in multi-spatial scales and multi-temporal scales. In different spatial scales, methods for a single turbine, a wind farm, and even a large wind power generation area are considered in three parts respectively. In each part, firstly, forecasting methods are divided into methods with only historical wind information and methods with additional meteorological information, and then, classified up to four different temporal scales. Discussion about the similarity and discrepancy of these methods are also presented at the end of each part. Finally, this paper gives two examples of real applications where wind power forecasting methods are significant.

源语言英语
主期刊名Proceedings of the 36th Chinese Control Conference, CCC 2017
编辑Tao Liu, Qianchuan Zhao
出版商IEEE Computer Society
页10576-10583
页数8
ISBN(电子版)9789881563934
DOI
出版状态已出版 - 7 9月 2017
活动36th Chinese Control Conference, CCC 2017 - Dalian, 中国
期限: 26 7月 2017 → 28 7月 2017

丛书

姓名Chinese Control Conference, CCC
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议36th Chinese Control Conference, CCC 2017
国家/地区中国
市Dalian
时期26/07/17 → 28/07/17

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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