Dowell, J. , Weiss, S., Hill, D. and Infield, D. (2013) A Cyclo-stationary Complex Multichannel Wiener Filter for the Prediction of Wind Speed and Direction. In: 21st European Signal Processing Conference, Marrakesh, Morocco, 09-13 Sep 2013, ISBN 9780992862602
Full text not currently available from Enlighten.
Publisher's URL: https://ieeexplore.ieee.org/document/6811751
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.
Item Type: | Conference Proceedings |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Browell, Dr Jethro |
Authors: | Dowell, J., Weiss, S., Hill, D., and Infield, D. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
ISSN: | 2219-5491 |
ISBN: | 9780992862602 |
Published Online: | 08 May 2014 |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record