Retransformed Forecasts Back In Time Series

The power and activity of statistical models is often improved after doing a suitable transformation, the efficacy is reflected also on analysis and forecasting using time series models. The mathematical modification of the data raises problems for the interpretation of models results and usefulness of forecasts based on transformed data, so in this paper we deal with methods for retransformed forecasts back into original scale. The application side of this paper will be in daily average data of electric power consumption in Nineveh governorate.