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Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters
Fusco, Francesco; Ringwood, John
Real-time control of wave energy converters requires knowledge of future incident wave elevation in order to approach optimal efficiency of wave energy extraction. We present an approach where the wave elevation is treated as a time series and it is predicted only from its past history. A comparison of a range of forecasting methodologies on real wave observations from two different locations shows how the relatively simple linear autoregressive model, which implicitly models the cyclical behavior of waves, can offer very accurate predictions of swell waves for up to two wave periods into the future.
Keyword(s): wave forecasting; Time series; wave energy
Publication Date:
2010
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Fusco, Francesco and Ringwood, John (2010) Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters. IEEE Transactions on Sustainable Energy, 1 (2). pp. 99-106. ISSN 1949-3029
Publisher(s): Institute of Electrical and Electronics Engineers (IEEE)
File Format(s): other
Related Link(s): http://eprints.maynoothuniversity.ie/9486/1/JR-Short-Term-2010.pdf
First Indexed: 2018-05-17 06:08:26 Last Updated: 2018-05-17 06:08:26