Title :
Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting
Author :
Catalão, J. P S ; Pousinho, H.M.I. ; Mendes, V.M.F.
Abstract :
Summary form only given. 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.
Keywords :
economic forecasting; fuzzy reasoning; particle swarm optimisation; power engineering computing; power markets; pricing; wavelet transforms; adaptive-network-based fuzzy inference system; electricity market; hybrid wavelet-PSO-ANFIS approach; particle swarm optimization; short-term electricity prices forecasting; wavelet transform; Electricity; Electricity supply industry; Forecasting; Particle swarm optimization; Wavelet transforms;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6038968
