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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Fonte, P.M., Santos, B., Monteiro, C., Catalão, J.P.S., Barbosa, F.M. (2014). Renewable Power Forecast to Scheduling of Thermal Units. In: Camarinha-Matos, L.M., Barrento, N.S., Mendonça, R. (eds) Technological Innovation for Collective Awareness Systems. DoCEIS 2014. IFIP Advances in Information and Communication Technology, vol 423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54734-8_40
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DOI: https://doi.org/10.1007/978-3-642-54734-8_40
Publisher Name: Springer, Berlin, Heidelberg
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