Skip to main navigation Skip to search Skip to main content

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

  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages10576-10583
Number of pages8
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 2017 → 28 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/17 → 28/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Forecast method
  • Review
  • Spatial scale
  • Temporal scale
  • Wind power forecasting

Fingerprint

Dive into the research topics of 'Review of wind power forecasting methods: From multi-spatial and temporal perspective'. Together they form a unique fingerprint.

Cite this