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, GBR. 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.

    ORCID iDs

    Malvaldi, Alice ORCID logoORCID: https://orcid.org/0000-0003-4378-9024, Dowell, Jethro ORCID logoORCID: https://orcid.org/0000-0002-5960-666X, Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206 and Infield, David;