A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction
Dowell, Jethro and Weiss, Stephan and Hill, David and Infield, David (2013) A cyclo-stationary complex multichannel wiener filter for the prediction of wind speed and direction. In: 21st European Signal Processing Conference, 2013-09-09 - 2013-09-13.
Preview |
PDF.
Filename: dowell13c.pdf
Final Published Version Download (857kB)| Preview |
Abstract
This paper develops a linear predictor for application to wind speed and direction forecasting in time and across different sites. The wind speed and direction are modelled via the magnitude and phase of a complex-valued time-series. A multichannel adaptive filter is set to predict this signal, based on its past values and the spatio-temporal correlation between wind signals measured at numerous geographical locations. The time-varying nature of the underlying system and the annual cycle of seasons motivates the development of a cyclo-stationary Wiener filter, which is tested on hourly mean wind speed and direction data from 13 weather stations across the UK, and shown to provide an improvement over both stationary Wiener filtering and a recent auto-regressive approach.
ORCID iDs
Dowell, Jethro ORCID: https://orcid.org/0000-0002-5960-666X, Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206, Hill, David and Infield, David;-
-
Item type: Conference or Workshop Item(Paper) ID code: 47171 Dates: DateEventSeptember 2013PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Mechanical engineering and machineryDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 Mar 2014 10:18 Last modified: 11 Nov 2024 16:36 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/47171