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    Short-Term Wave Forecasting for Real-Time Control of Wave Energy Converters


    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

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    Abstract

    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.

    Item Type: Article
    Keywords: wave forecasting; Time series; wave energy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9486
    Identification Number: https://doi.org/10.1109/TSTE.2010.2047414
    Depositing User: Professor John Ringwood
    Date Deposited: 16 May 2018 14:16
    Journal or Publication Title: IEEE Transactions on Sustainable Energy
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Refereed: Yes
    URI:

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