Load Demand Forecast of Organized Industrial Zone and Imbalance Cost Analysis

Abstract

This project aims an economic analysis by estimating the electrical load of an organized industry zone in Izmir Turkey and creating a scenario close to reality. The electrical load of the organizing industry was estimated by artificial neural network method using electricity consumption values. In this method a multilayer perceptron model use for feed-forward algorithm and for a backpropagation training algorithm Levenberg-Marquard algorithm is used. The results obtained by artificial neural network and multiple linear regression method were compared with each other.