Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4525
Título: Metaheuristic approach to the Holt-Winters optimal short term load forecast
Autor: Eusébio, Eduardo Adelino Mateus Nunes
Camus, Cristina Inês
Curvelo, Carolina
Palavras-chave: Electricity demand
Load forecast
Combinatorial optimization
Evolutionary algorithms
Data: Mar-2015
Editora: European Association for the Development of Renewable Energy, Environment and Power Quality
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)
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: yes
URI: http://hdl.handle.net/10400.21/4525
ISSN: 2172-038X
Versão do Editor: http://www.icrepq.com/icrepq'15/460-15-eusebio.pdf
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Metaheuristic Approach_ADEEEA.pdf191,09 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.