LONG TERM LOAD FORECASTING OF EGYPTIAN POWER NETWORK BY COMPUTATIONAL INTELLIGENCE

Load forecasting has influence on security and efficiency for electric power systems. this paper describes electrical load forecasting using computational intelligence methods such as artificial neural network (ann) and adaptive neuro fuzzy inference system (anfis), the data must be treated before applied, and the inconsistent attributes will be excluding. from the experimental results the two methods are suitable for forecasting peak load but anfis method is better than ann. .