A Comparison between forecasting methods of daily peak load series for electrical power in Mosul

Time series analysis gives a great importance to predict and many of the methods proposed for the purpose of forecasting. In view of the importance of accession deviation it was different of the goal of this research for a comparison between the Box-Jenkins method and Exponential Smoothing methods and compare the standard based on the mean square error(MSE) and mean absolute error (MAE) and mean absolute percentage error (MAPE), to assume the future values of the seasonal time series models and the model of suggested and fitting for time series data is ARIMA (0,1,2)(0,1,1) and has been applied to the observations represent daily of peak load for electric power in Mosul.

Abstract licence: CC BY

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