Short-term wind prediction using an ensemble of particle swarm optimised FIR filters

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Abstract

Due to the large and increasing penetration of wind power around the world, accurate power production forecasts are required to manage power systems and wind power plants. In this paper we propose an ensemble of particle swarm optimised filtering technique for 1-hour-ahead prediction of hourly mean wind speed and direction. The performance of the new method is assessed by testing it on data from 13 locations around the UK where it performs comparably to linear techniques but is able to provide significant improvement at a subset of locations.
Original languageEnglish
Title of host publicationIET Intelligent Signal Processing Conference 2013 (ISP 2013)
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2 Dec 2013
EventIET Intelligent Signal Processing Conference - London, United Kingdom
Duration: 2 Dec 20133 Dec 2013

Conference

ConferenceIET Intelligent Signal Processing Conference
CountryUnited Kingdom
CityLondon
Period2/12/133/12/13

Keywords

  • short-term
  • wind prediction
  • particle
  • swarm optimised
  • FIR filters

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