Abstract
Electric energy is of vital importance for daily life activity of the modern societies, and its average individual consumption is one of the most important indicators of economic development. Residential sector of Nineveh Province has suffered since 1991 like all Iraqi Provinces from the lack of electricity supply. This was a setback in the way of growth and development. Therefore data collected of the monthly electrical energy sells of Nineveh residential sector for the period from 2004-2007. They were examined and discussed by Macklarn method: which disregards unusual values and be replaced with the average value of similar months in the data sample. As a hypothesis in this research, there are many variable factors shared by different ratios in the growth of the gap of electrical energy demand that are GDP and temperature. To achieve and test this hypothesis, the descriptive and quantitative approaches have been used in forecasting the gap of electrical energy demand. The goal of this study is to explore the nature of available monthly demanded electricity consumption in residential sector for the period 2004-2007 and forecasting Demand, Supply and its gap from 2008 to 2010. 2008-2010.
Highlights
Electric energy1 is of vital importance for daily life activity of the modern societies, and its average individual consumption is one of the most important indicators of economic development
As a hypothesis in this research, there are many variable factors shared by different ratios in the growth of the gap of electrical energy demand that are GDP and temperature
To achieve and test this hypothesis, the descriptive and quantitive approaches have been used in forecasting the gap of electrical energy demand
Summary
Electric energy[1] is of vital importance for daily life activity of the modern societies, and its average individual consumption is one of the most important indicators of economic development. They were examined and discussed by Macklarn method: which disregards unusual values and be replaced with the average value of similar months in the data sample. As a hypothesis in this research, there are many variable factors shared by different ratios in the growth of the gap of electrical energy demand that are GDP and temperature.
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