F. Fusco

Publications (2)0 Total impact

• Source

  Available from: nuim.ie

  Conference Proceeding: Short-term wave forecasting with AR models in real-time optimal control of wave energy converters

  F. Fusco, J.V. Ringwood
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  ABSTRACT: Time domain control of wave energy converters requires knowledge of future incident wave elevation in order to approach conditions for optimal energy extraction. Autoregressive models revealed to be a promising approach to the prediction of future values of the wave elevation only from its past history. Results on real wave observations from different ocean locations show that AR models allow to achieve very good predictions for more than one wave period in the future if the focus is put on low frequency components, which are the most interesting from a wave energy point of view. For real-time implementation, however, the lowpass filtering introduces an error in the wave time series, as well as a delay, and AR models need to be designed so to be as robust as possible to these errors.
  Industrial Electronics (ISIE), 2010 IEEE International Symposium on; 08/2010
• Source

  Available from: nuim.ie

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

  F. Fusco, J.V. Ringwood
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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.
  IEEE Transactions on Sustainable Energy 08/2010;