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Orientador(es)
Resumo(s)
In this work is discussed the importance of the renewable production forecast in an island environment. A probabilistic forecast based on kernel density estimators is proposed. The aggregation of these forecasts, allows the determination of thermal generation amount needed to schedule and operating a power grid of an island with high penetration of renewable generation. A case study based on electric system of S. Miguel Island is presented. The results show that the forecast techniques are an imperative tool help the grid management.
Descrição
Palavras-chave
Probabilistic renewable power forecast Kernel density estimator Power scheduling
Contexto Educativo
Citação
FONTE, Pedro Miguel Neves; [et al] – Renewable power forecast to scheduling of thermal units. In IFIP Advances in Information and Communication Technology. Berlin : Springer-Verlag Berlin, 2014. ISSN: 1868-4238. Vol. 423, p. 361-368.
Editora
Springer-Verlag Berlin