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What is ANFIS-RKF-WNN Hybrid for Wind Forecasting about?

This document presents a hybrid optimized model combining Adaptive Neuro-Fuzzy Inference System (ANFIS), Recurrent Kalman Filter (RKF), and Neuro-Wavelet (WNN) for accurate wind power forecasting driven by a doubly fed induction generator (DFIG). The study compares the performance of six different hybrid models, concluding that the ANFIS+RKF+WNN sequence yields the best results. The work emphasizes the importance of accurate forecasting models for integrating renewable energy sources into smart grids.

Author

1289922836

Language

EN