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

Dowell, Jethro and Weiss, Stephan; (2013) Short-term wind prediction using an ensemble of particle swarm optimised FIR filters. In: IET Intelligent Signal Processing Conference 2013 (ISP 2013). IET, GBR, pp. 1-5. ISBN 978-1-84919-774-8

[thumbnail of dowell13d]
Preview
PDF (dowell13d)
dowell13d.pdf
Accepted Author Manuscript

Download (595kB)| Preview
    [thumbnail of Dowell-Weiss-IET-2013-Short-term-wind-prediction-using-an-ensemble-of-particle]
    Preview
    Text (Dowell-Weiss-IET-2013-Short-term-wind-prediction-using-an-ensemble-of-particle)
    Dowell_Weiss_IET_2013_Short_term_wind_prediction_using_an_ensemble_of_particle.pdf
    Accepted Author Manuscript

    Download (594kB)| Preview

      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.

      ORCID iDs

      Dowell, Jethro ORCID logoORCID: https://orcid.org/0000-0002-5960-666X and Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206;