Electrical load plays a key role in countries' economic development. Generation of
energy requires accurate estimation of the load that is in turn accomplished by accurate
load forecasting. It plays a key role in balancing energy production and demand.
Forecasting of electrical load gives efficient and effective operation of any power system.
Many methods are implemented for Short Term Load Forecasting (STLF) considering the
effects of temperature, humidity, etc. Load data of Beleza, Asmara, Eritrea, is taken from
Eritrean Electric cooperation Asmara for a period of 31days. The load is predicted by
using the exponential smoothing techniques including the seasonality effects and day
effects on the loads, critical index values and total system loads. The load is forecasted
based on the day. Simulation studies are performed in the MATLAB environment.