Renewable Power Forecast to Scheduling of Thermal Units

Abstract : 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.
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Communication dans un congrès
Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.361-368, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_40〉
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Pedro Fonte, Bruno Santos, Cláudio Monteiro, João Catalão, Fernando Barbosa. Renewable Power Forecast to Scheduling of Thermal Units. Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.361-368, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_40〉. 〈hal-01274798〉

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