Abstract:
Demand forecasting is vitally important for the electric industry in the deregulated economy. It has many applications including energy purchasing, generation, load switching, contract evaluation, and infrastructure development. Many mathematical methods have been developed for load forecasting.
The aim of this thesis is to introduce the meaning and importance of load forecasting, through an actual study of electrical load growth in Nyala city.
According to the real data that were collected they show that the pattern of energy consumption in each household is different based on the variable income level of household occupation and the type of private home. The households in high income level consumed higher electricity than for the households in medium and low income levels.
Statistic Package of Social Science (SPSS), Statistical Software Regression analysis, Trend method and Microsoft Excel were used in this thesis for data scheduling and processing, the estimation of equations and for drawing the curves and charts describing the load growth in Nyala city.
