Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting

@article{Catalao2011HybridWA,
  title={Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting},
  author={J. P. S. Catalao and H. M. I. Pousinho and V. M. F. Mendes},
  journal={2011 IEEE Power and Energy Society General Meeting},
  year={2011},
  pages={1-1}
}
A novel hybrid approach, combining wavelet transform, particle swarm optimization, and adaptive-network-based fuzzy inference system, is proposed in this paper for short-term electricity prices forecasting in a competitive market. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications. Finally, conclusions are duly drawn. 
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