Skip to main navigation Skip to search Skip to main content

Wind power forecasting & prediction methods

  • A. M. Foley
  • , P. G. Leahy
  • , E. J. McKeogh

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Globally on-shore wind power has seen considerable growth in all grid systems. In the coming decade offshore wind power is also expected to expand rapidly. Wind power is variable and intermittent over various time scales because it is weather dependent. Therefore wind power integration into traditional grids needs additional power system and electricity market planning and management for system balancing. This extra system balancing means that there is additional system costs associated with wind power assimilation. Wind power forecasting and prediction methods are used by system operators to plan unit commitment, scheduling and dispatch and by electricity traders and wind farm owners to maximize profit. Accurate wind power forecasting and prediction has numerous challenges. This paper presents a study of the existing and possible future methods used in wind power forecasting and prediction for both on-shore and off-shore wind farms.

Original languageEnglish
Title of host publication2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010
Pages61-64
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010 - Prague, Czech Republic
Duration: 16 May 201019 May 2010

Publication series

Name2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010

Conference

Conference2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010
Country/TerritoryCzech Republic
CityPrague
Period16/05/1019/05/10

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

  • Meteorology
  • Wind
  • Wind power forecasting
  • Wind power prediction

Fingerprint

Dive into the research topics of 'Wind power forecasting & prediction methods'. Together they form a unique fingerprint.

Cite this