Applying Neural Network And Levenberg - Marquardt Algorithm for Load Forecasting in IA-Grai District, Gia Lai Province

Abstract

Electrical energy is fundamental to the life and economic development. Accompany by the increasing demand for electricity by people and businesses, the electricity industry must always ensure sufficient supply for production activities. This poses an urgent need to have an accurate load forecasting tool for electricity production and distribution strategy. If the demand forecast is lower than the reality, the phenomenon of power supply shortage will occur. While if the forecast exceeds the demand for use by people and businesses, it will cause economic losses because it must mobilize power sources by using a backup as a diesel generator. For these reasons, the problem of electrical load forecasting becomes very important in terms of efficient power supply. In this paper, a load forecasting tool using Neural Network and Levenberg - Marquardt algorithm is presented.