In the literature, there are a number of important studies on
electricity consumption and demand estimation. In these studies,
some of commonly used methods are time series models, regression
models, Box–Jenkins models, econometric models, neural networks,
ant colony optimization, genetic algorithms and statistical
learning models. Traditionally, regression analysis and time series
have been the most popular modeling techniques in electricity
consumption predicting
In the literature, there are a number of important studies on
electricity consumption and demand estimation. In these studies,
some of commonly used methods are time series models, regression
models, Box–Jenkins models, econometric models, neural networks,
ant colony optimization, genetic algorithms and statistical
learning models. Traditionally, regression analysis and time series
have been the most popular modeling techniques in electricity
consumption predicting
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