THE NEURAL NETWORK - APPLICATION OF SHORT TERM ELECTRIC LOAD FORECASTION IN POWER SYSTEM AND INFLUENCE OF TEMPERATURE PAREMETERS

Abstract

Load forecasting plays an important role operating power systems . Accuracy in load forcasting helps to stabilization of electricity system (frequency and voltage stability), assuring power balance between manufacture and  daily use. This paper presents applications of BPA (Back Propagation Algorithm) of Neural network to forecast short-term electric load and influence of temperature parameters. All of code are programmed by Visual C language.