A Novel Hybrid Approach Based on Wavelet Transform and Fuzzy ARTMAP Networks for Predicting Wind Farm Power Production

作者：Ul Haque Ashraf^*; Mandal Paras; Meng Julian; Srivastava Anurag K; Tseng Tzu Liang; Senjyu Tomonobu

来源：IEEE Transactions on Industry Applications, 2013, 49(5): 2253-2261.

DOI：10.1109/TIA.2013.2262452

• Fuzzy ARTMAP (FA)
• soft computing models (SCMs)
• wavelet transform (WT)
• wind farm power forecast

This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting the power output of a wind farm utilizing meteorological information such as wind speed, wind direction, and temperature. The prediction capability of the proposed hybrid WT+FA model is demonstrated by an extensive comparison with a benchmark persistence method, other soft computing models, and hybrid models as well. The test results show a significant improvement in forecasting error through the application of a proposed hybrid WT+FA model. The proposed hybrid wind power forecasting strategy is applied to real-life data from Kent Hill wind farm located in New Brunswick, Canada.

• 出版日期2013-10