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The aim of this work is to analyze factors influencing electricity consumption in Japan using regression analysis. Every season regression models are developed for forecasting and determining elasticity coefficient associated with climatic conditions. As explanation variables, we use temperature, relative humidity and other factors such us holidays. Then, several statistical tests, for instance, t-test,...
In this paper, the stochastic characteristics of the electric consumption in France are analyzed. It is shown that the load time series exhibit lasting abrupt changes in the stochastic pattern, termed breaks, which need to be accounted for during the modeling process. Thus, a new robust diagnostic approach for which the identification of the breaks is carried out via a robust autocorrelation function...
Using spatial autoregressive model, the spatial characteristic between power demand and GDP is analyzed in this paper. And the combination model of forecasting in which the spatial characteristic between power requirement was considered is established. Simulations results show the distinct spatial dependence between power requirement and GDP, and the dependence between power requirements and GDP is...
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