Short term electric load forecasting is necessary for optimum operation planning of power generation facilities, as it affects both system reliability and fuel consumption. Short term load forecasting involves forecasting load demand in a short term time frame. The short time frame may consist of half hourly prediction up to weekly prediction. In this paper, a short term load forecasting realized by wavelet networks is proposed. It can predict the hourly load accurately
