[01] Sara Nada, Department of Economics, Faculty of Economics & Political Sciences, Cairo University, Cairo, Egypt. [02] Mohamed Hamed, Department of Electrical Engineering, Faculty of Engineering, Port Said University, Port Said, Egypt.

This paper presents some factors for the correlation of readings of energy consumption in the capital city of Egypt based on the manual process of accounting and the recording cycle for the readings of consumption to control the exact monthly cost of energy. An official sample, for the domestic customers at north Cairo (the Capital of Egypt) over 26 years, has been included in the investigation and analysed while the mathematical formulation is applied. A sample for the total Energy curves in Cairo City is inserted and investigated where curves are classified statistically into two groups for the mathematical analysis. A statistical performance for the readings of studied energy curves is deduced and the results are discussed. The growth of energy consumption is proposed, and the statistical parameters of deduced load curves are estimated for the final equivalent load curve of Cairo. The rate of rise of energy consumption, for all readings in the model, is evaluated as a principle for economics related. The given investigation correlates the automatic random characteristics in the domestic loads of customers and the average load curve for Cairo is deduced according to the statistical results. Two types of correction for the original data have been treated as summation readings (multi-month reading) and the starting of utilization of energy (Zeros). The average (mean value) for energy consumption is calculated to cover the future consumption in distribution systems while the maximum value is computed for the demand power planning in generating stations. The mathematical analysis for either mean values of energy progress or statistical average loads, with the variation of domestic load curves performance, is presented. The principle rules for energy management are stated.

Energy Consumption, Average, Monthly Reading Correlation, Domestic Load, Pricing Economics, Growth, Statistical Analysis

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