Título: Previsor Neural de Carga Elétrica Baseado na Transformada Wavelet Discreta
Autores: Reis, Agnaldo J. Rocha; Silva, Alexandre P. Alves
Resumo: The importance of short-term load forecasting has been increasing lately. With deregulation and competition, energy price forecasting has become a big business. Bus-load forecasting is essential to feed analytical methods utilized for determining energy prices. The variability and non-stationarity of loads are becoming worse due to the dynamics of energy prices. Besides, the number of nodal loads to be predicted does not allow frequent interventions from load forecasting experts. More autonomous load predictors are needed in the new competitive scenario. This paper proposes two different strategies for successfully embedding the discrete wavelet transform into artificial neural network-based short-term load forecasting. Its main goal is to develop more robust load forecasters. Hourly temperature and load data for two whole years from a North-American electric utility was used in order to test the proposed methodology.
Código DOI: 10.21528/CBRN2003-072
Artigo em PDF: 6CBRN_072.PDF
Arquivo BibTex: 6CBRN_072.bib