Short-term Wind Prediction Using an Ensemble of Particle Swarm Optimised FIR Filters

Dowell, J. and Weiss, S. (2013) Short-term Wind Prediction Using an Ensemble of Particle Swarm Optimised FIR Filters. In: IET Intelligent Signal Processing Conference 2013 (ISP 2013), London, UK, 02-03 Dec 2013, ISBN 9781849197748 (doi: 10.1049/cp.2013.2065)

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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.

Item Type:Conference Proceedings
Additional Information:The authors gratefully acknowledge the British Atmospheric Data Centre for their supply of meteorological data, and the support of the UK’s Engineering and Physical Sciences Research Council via the University of Strathclyde’s Wind Energy Systems Centre for Doctoral Training, grant number EP/G037728/1.
Glasgow Author(s) Enlighten ID:Browell, Dr Jethro
Authors: Dowell, J., and Weiss, S.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Published Online:17 February 2014

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