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Wind prediction enhancement by exploiting data non-stationarity

Malvaldi, Alice and Dowell, Jethro and Weiss, Stephan and Infield, David (2016) Wind prediction enhancement by exploiting data non-stationarity. In: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). IET, Piscataway, N.J.. ISBN 978-1-78561-136-0

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Abstract

The short term forecasting of wind speed and direction has previously been improved by adopting a cyclo-stationary multichannel linear prediction approach which incorporat ed seasonal cycles into the estimation of statistics. This pap er expands previous analysis by also incorporating diurnal va ri- ation and time-dependent window lengths. Based on a large data set from the UK’s Met Office, we demonstrate the impact of this proposed approach.