Wind prediction enhancement by exploiting data non-stationarity

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
LanguageEnglish
Title of host publication2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)
Place of PublicationPiscataway, N.J.
Number of pages5
DOIs
Publication statusPublished - 17 Nov 2016
Event2nd IET International Conference on Intelligent Signal Processing - Kensington Close Hotel, London, United Kingdom
Duration: 1 Dec 20152 Dec 2015

Conference

Conference2nd IET International Conference on Intelligent Signal Processing
CountryUnited Kingdom
CityLondon
Period1/12/152/12/15

Fingerprint

Statistics

Keywords

  • wind forecasting
  • multicannel prediction
  • non-stationary filtering
  • adaptive signal processing

Cite this

Malvaldi, A., Dowell, J., Weiss, S., & Infield, D. (2016). Wind prediction enhancement by exploiting data non-stationarity. In 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP) Piscataway, N.J.. https://doi.org/10.1049/cp.2015.1795
Malvaldi, Alice ; Dowell, Jethro ; Weiss, Stephan ; Infield, David. / Wind prediction enhancement by exploiting data non-stationarity. 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J., 2016.
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keywords = "wind forecasting, multicannel prediction, non-stationary filtering, adaptive signal processing",
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Malvaldi, A, Dowell, J, Weiss, S & Infield, D 2016, Wind prediction enhancement by exploiting data non-stationarity. in 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J., 2nd IET International Conference on Intelligent Signal Processing, London, United Kingdom, 1/12/15. https://doi.org/10.1049/cp.2015.1795

Wind prediction enhancement by exploiting data non-stationarity. / Malvaldi, Alice; Dowell, Jethro; Weiss, Stephan; Infield, David.

2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J., 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Malvaldi A, Dowell J, Weiss S, Infield D. Wind prediction enhancement by exploiting data non-stationarity. In 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J. 2016 https://doi.org/10.1049/cp.2015.1795