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Orientador(es)
Resumo(s)
The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.
Descrição
Palavras-chave
Wind power Prediction Swarm optimization Neuro-fuzzy
Contexto Educativo
Citação
Pousinho M, Mendes V, Catalão J. A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal. Energy Conversion and Management. 2011; 52(1).