Projects per year
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.
|Title of host publication||IET Intelligent Signal Processing Conference 2013 (ISP 2013)|
|Number of pages||5|
|Publication status||Published - 2 Dec 2013|
|Event||IET Intelligent Signal Processing Conference - London, United Kingdom|
Duration: 2 Dec 2013 → 3 Dec 2013
|Conference||IET Intelligent Signal Processing Conference|
|Period||2/12/13 → 3/12/13|
- wind prediction
- swarm optimised
- FIR filters
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- 1 Finished
1/10/09 → 31/03/18
Project: Research - Studentship