Title :
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal
Author :
Catalão, J. P S ; Pousinho, H.M.I. ; Mendes, V.M.F.
Author_Institution :
Univ. of Beira Interior, Covilha, Portugal
Abstract :
The increased integration of wind power into the electric grid, as it occurs today in Portugal, poses new challenges due to its intermittency and volatility. Wind power forecasting plays a key role in tackling these challenges. A novel hybrid approach, combining wavelet transform, particle swarm optimization, and an adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power forecasting in Portugal. A thorough comparison is carried out, taking into account the results obtained with seven other approaches. Finally, conclusions are duly drawn.
Keywords :
fuzzy neural nets; fuzzy reasoning; load forecasting; particle swarm optimisation; power engineering computing; power grids; wavelet transforms; wind power plants; Portugal; adaptive-network-based fuzzy inference system; electric grid; hybrid wavelet-PSO-ANFIS approach; particle swarm optimization; short-term wind power forecasting; wavelet transform; Artificial neural networks; Forecasting; Predictive models; Wavelet transforms; Wind forecasting; Wind power generation; Forecasting; fuzzy logic; neural networks; swarm optimization; wavelet transform; wind power;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2010.2076359
