DEMAND FORECASTING OF INDUSTRIAL ELECTRICAL ENERGY CONSUMPTION FOR TAMILNADU STATE

Abstract

Energy consumption forecasting is vitally important for the deregulated electricity industry in India, particularly in Tamilnadu state. A large variety of mathematical methods have been developed for energy forecasting. In this study, historical data set including population (POP), Gross state domestic Product (GSDP), Yearly peak demand (YPD), and Per Capita income (PCI) were considered from the year 2005 to 2011.Firstly, the multiple linear regression model (MLRM)has been developed. The regression model outputs were optimized using Neural network method.