Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4540
Título: Metaheuristhic approach to the Holt-Winters optimal short term load forecast
Autor: Eusébio, Eduardo
Camus, Cristina Inês
Curvelo, Carolina
Palavras-chave: Electricity demand
Load forecast
Combinatorial optimization
Evolutionary algorithms
Data: Mar-2015
Resumo: Electricity short-term load forecast is very important for the operation of power systems. In this work a classical exponential smoothing model, the Holt-Winters with double seasonality was used to test for accurate predictions applied to the Portuguese demand time series. Some metaheuristic algorithms for the optimal selection of the smoothing parameters of the Holt-Winters forecast function were used and the results after testing in the time series showed little differences among methods, so the use of the simple local search algorithms is recommended as they are easier to implement.
Peer review: no
URI: http://hdl.handle.net/10400.21/4540
Aparece nas colecções:ISEL - Eng. Electrotécn. - Comunicações

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