Short-term solar radiation forecasting by using an iterative combination of wavelet artificial neural networks

Autor: Volmir Eugênio Wilhelm, Luiz Albino Teixeira Junior, Edgar Manuel Carreño Franco, Julio Cesar Royer

Publikováno v: Independent Journal of Management & Production; Vol 7, No 1 (2016): Independent Journal of Management & Production; 271-288
Independent Journal of Management & Production, Vol 7, Iss 1, Pp 271-288 (2016)
Independent Journal of Management & Production; Vol. 7 No. 1 (2016): Independent Journal of Management & Production; 271-288
Independent Journal of Management & Production
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P

The information provided by accurate forecasts of solar energy time series are considered essential for performing an appropriate prediction of the electrical power that will be available in an electric system, as pointed out in Zhou et al. (2011). H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a893113c0610abef8da33c569bbe08
http://www.ijmp.jor.br/index.php/ijmp/article/view/393