The local power demand estimation based on artificial neural network technique

The demand to electrical energy increases day by day. It is very important to reflect this increasing demand accurately to power plant planning. ANN technique can be effectively used in load forecasting. In this paper, ANN load forecasting is performed by using some nonlinear input parameters such as temperature, humidity, rain conditions. Real electrical data obtained for the national grid and meteorological parameters are used in the presented application.