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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Electricity demand Load forecast Combinatorial optimization Evolutionary algorithms
Contexto Educativo
Citação
EUSÉBIO, Eduardo Adelino Mateus Nunes; CAMUS, Cristina Inês; CURVELO, Carolina - Metaheuristic approach to the Holt-Winters optimal short term load forecast. Renewable Energy & Power Quality Journal. ISSN 2172-038X. Vol. 13 (2014)
Editora
European Association for the Development of Renewable Energy, Environment and Power Quality