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 (https://doi.org/10.1049/cp.2013.2065)
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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.
ORCID iDs
Dowell, Jethro ORCID: https://orcid.org/0000-0002-5960-666X and Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206;-
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Item type: Book Section ID code: 46933 Dates: DateEvent2 December 2013PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 27 Feb 2014 11:18 Last modified: 03 Sep 2024 00:40 URI: https://strathprints.strath.ac.uk/id/eprint/46933