Chaos theory applied to input space representation of autonomous neural network-based short-term load forecasting models

Título:

Chaos theory applied to input space representation of autonomous neural network-based short-term load forecasting models

Autor:

Vitor Hugo Ferreira

Ano:

2011

DOI:

10.1590/S0103-17592011000600004

Revista:

Controle & Automação (Impresso)

ISSN:

01031759

Tags:

short-term load forecasting

Time series forecasting

Bayesian inference applied to MLPs

Automatic clustering

Idioma:

Inglês

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