Long Term Peak Load Forecasting for the Libyan Network

Abstract

Long term load demand forecasting is a necessary process in electric power system operation and development. It contains the accurate prediction of both magnitudes and geographical locations of electric load over the different periods of the planning horizon. Several economic implications of power utility such as economic scheduling of generating capacity, scheduling of fuel purchases, security analysis, planning of power development, maintenance scheduling and dispatching of generation units are mainly worked based on accurate load forecasting. In this paper, the peak load for seven years ahead is performed for the Libyan electric network with the simple regression method. MATLAB programming has been used for computational work. The results attained are validated with the real data obtained from the National Control Center of the General Electricity Company of Libya (GECOL).