بناء نموذج انحدار متعدد لاستهلاك الكهرباء في قطاع غزة

Abstract

This paper aims to build multiple regression model to identify the significant variables which affect the electricity consumption for households in Gaza Strip. This can be achieved through the study of the current situation and the obstacles facing the electricity consumption in Gaza Strip, which has a high privacy that differs from all the countries in the world. The Problem of electricity increases as the gap between supply and demand increases over time and resulting on significant impact on different aspects of life. The household represents the largest proportion in electricity consumption and number of subscribers in Gaza Strip. The method of Generalized Least Squares (GLS) is used to build the electricity consumption model. This model indicates that the most significant independent variables are: No commitment to pay electricity bills, the average of per capita income, and average per subscription share of electricity for the households. The result shows that 99.3% of the variability of electricity consumption is explained by these variables. One of the main recommendations of this research: provide a separate subscription for each apartment, the obligation for paying the monthly electricity bills, compromise of arrears, as well as the rationalizing use of electricity.