Real measure of a transmission line data with load fore-cast model for the future

Abstract

In this study, an electric transmission line taken hourly data of feeders, belonging to the 1990-2017 year in Turkey by using actual consumption value, load forecasting analysis was done for the future. Short-medium-long term forecast range that results in hourly resolution, presented a mathematical approach to versatile applications. A statistical prediction tool that is called Exponentially Weighted Moving Average (EWMA) is used to predict the next year's demand for transmission in Turkey. In addition to this method, the estimated value of load factors near future, within a few years also has been shown to successfully predict the hour as possible. To load demand will increase in the future, it was presented solutions to be taking precautions.