Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting

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...

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Detalhes bibliográficos
Autor principal: Catalão, João Paulo da Silva (author)
Outros Autores: Pousinho, Hugo Miguel Inácio (author), Mendes, Victor (author)
Formato: article
Idioma:eng
Publicado em: 2013
Assuntos:
Electricity market
Fuzzy logic
Neural networks
Price forecasting
Swarm optimization
Wavelet transform
Neuro-evolutionary algorithm
Arima models
Market
Network
System
Decomposition
Information
Environment
Transform
Texto completo:http://hdl.handle.net/10400.21/2203
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/2203

Texto Completo

http://hdl.handle.net/10400.21/2203

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