Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/10011
Título: Electricity market price forecasting by grid computing optimizing artificial neural networks
Autor: Niimura, T.
Ozawa, K.
Sakamoto, N.
Palavras-chave: Grid computing
electricity market
prices
forecasting
neural networks
Data: 2007
Editora: Instituto Superior de Economia e Gestão
Citação: Niimura, T., K. Ozawa e N. Sakamoto (2007). "Electricity market price forecasting by grid computing optimizing artificial neural networks". Portuguese Journal of Management Studies, XII(2):133-144
Resumo: This paper presents a grid computing approach to parallel-process a neural network time-series model for forecasting electricity market prices. A grid computing environment introduced in a university computing laboratory provides access to otherwise underused computing resources.The grid computing of the neural network model not only processes several times faster than a single iterative process, but also provides chances of improving forecasting accuracy. Results of numerical tests using real market data on twenty grid-connected PCs are reported.
URI: http://hdl.handle.net/10400.5/10011
Aparece nas colecções:2007, Volume XII, nº 2

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
pjms-tn-ko-ns-2007.pdf188,41 kBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

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