Neural networks and wavelet transform for short-term electricity prices forecasting

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

Catalao, JPS (Autor) Outra; Pousinho, HMI (Autor) Outra; Mendes, VMF (Autor) Outra

Ata de Conferência Internacional

Título: 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09

Curitiba, 8 November 2009 through 12 November 2009

Indexação

Scopus - 25 Citações

Outras Informações

ID Authenticus: P-007-SDS

DOI: 10.1109/isap.2009.5352834

Abstract (EN): This paper proposes neural networks in combination with wavelet transform for short-term electricity prices forecasting. In the new deregulated framework, producers and consumers require short-term price forecasting to derive their bidding strategies to the electricity market. Accurate forecasting tools are required for producers to maximize their profits and for consumers to maximize their utilities. The accuracy of the price forecasting attained with the proposed approach is thoroughly evaluated, reporting the numerical results from a real-world case study based on the electricity market of mainland Spain. © 2009 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica