Hybrid Evolutionary Neuro-fuzzy Computational Tool to Forecast Wind Power and Electricity Prices

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Osorio, GJ (Autor) Outra; Pousinho, HMI (Autor) Outra; Matias, JCO (Autor) Outra; Cláudio Monteiro (Autor) FEUP; Catalao, JPS (Autor) Outra

Ata de Conferência Internacional

Título: TECHNOLOGICAL INNOVATION FOR VALUE CREATION

Páginas: 321-328

3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems

Costa de Caparica, PORTUGAL, FEB 27-29, 2012

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-002-FGM

DOI: 10.1007/978-3-642-28255-3_35

Abstract (EN): The intermittence of the renewable sources due to its unpredictability increases the instability of the actual grid and energy supply. Besides, in a deregulated and competitive framework, producers and consumers require short-term forecasting tools to derive their bidding strategies to the electricity market. This paper proposes a novel hybrid computational tool, based on a combination of evolutionary particle swarm optimization with an adaptive-network-based fuzzy inference system, for wind power forecasting and electricity prices forecasting in the short-term. The results from two real-world case studies are presented, in order to illustrate the proficiency of the proposed computational tool.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8