An Advanced Cascaded Method for Regional Wind Power Forecasting

Abstract:

Regional wind power forecasting deals with the prediction of the aggregated power output of wind farms located within a defined region. By architecture, regional forecasting models are classed by three approaches. In these approaches, the cascaded approach is a most practical method although the method has a larger prediction error. This paper provides a systematic review of all these regional forecasting approaches and ultimately proposes an advanced cascaded method to improve forecasting precision. The method use root mean square error as evaluation criteria to adjust every prediction of signal wind farm in a region. The simulation results show the effectiveness of the advanced cascaded method.

• Periodical: Applied Mechanics and Materials (Volumes 198-199)
• Pages: 814-818
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.198-199.814
• Online since: September 2012
• Authors: Jin Sha Yuan, Hong Yang
• Keywords: Adjust Prediction, Cascaded Approach, Regional Wind Power Forecasting, Root Mean Square (RMS)

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