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The primary aim of this study is to develop a new forecasting system for hourly electricity load in six Italian macro-regions. The statistical methodology is centered around a dynamic regression model in which important external predictors are included in a seasonal autoregressive integrate moving average process (sarimax). Specifically, the external variables are lagged hourly loads and calendar...
This paper compares the modeling process in the quantile regression and linear regression for the similarities and differences, in the model building, parameter estimation, computer implementation. and specific examples of these four aspects described quantile regression model better than linear regression mode.
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