ELECTRICAL LOAD DEMAND MODEL BY NEURAL NETWORK METHOD

摘要

Usage of neural network for estimation electrical loadrndemand has been started for years. In this method, Timernseries variable is analyzed for projection of future.rnIn this paper, we will estimate electrical load demand forrnlong-term and determinate effective parameters. Effectivernparameter already has been shown in previous studies ofrnauthor.rnThis paper, First by using back propagation method andrnconsidering of effective input for electrical load demand,rnsuch as income, value added of Industry and home sector,rnprice of electricity and other carrier energy, population,rnhistorical and economical effects, primary neural networkrnmodel with input, hidden and output layer will berndesigned. Then weights will be given in learning process.rnFinally it leads to optimized network for estimation ofrnelectrical load demand.rnThe Final model is useful for policy maker for five-yearrnprograms in Iran.