[01] Sara Nada, Department of Economics, Faculty of Economics & Political Sciences, Cairo University, Cairo, Egypt.

This paper treats the energy cost evaluation relative to the family income. This statement is implemented to an ideal model for the domestic energy consumption as populations. The determined title of domestic energy consumption is selected to represent the aimed operation and data processing. Also, Cairo (the capital of Egypt) is considered to represent the developing countries. The designated model contains 15 ideal samples of customers (has a period of 26 continuous years), starting at January 1992 and ending at January 2018, where the cost of energy consumption is analysed. The corresponding cost is estimated according to the history of energy tariff in Egypt and then the calculation of energy cost is based on the occupied houses strategy. All data are processed for the average value once the month readings are treated directly for the occupied houses analysis. The transformation of month coordinates of data to the annual readings coordinates is based, and then, the annual analysis is implemented. The approximated annual family income is introduced, and the cost of domestic energy is accounted according to the tariff history for the domestic energy in Egypt. The annual results of the average cost function are derived for three cases: average and the two limits of maximum month reading as well as the minimum month reading per each year in the annual coordinates. Thus, 3 annual readings for each year (average, maximum, and minimum) are found to be inserted for processing. The energy cost dependency is decided based on the assumed family income for Egypt with the annual bonus of 10% as Egypt represents the developing countries. The generalization of results through a chart style is stated due to the time dependent function of family income. The saving of cost consumption is a main target so that the average growth of cost consumption may be computed. The resistive part of growth is proved and clarified. The results are extracted where a simple artificial neural network having 3-layers (input, hidden, and output layers) is proposed for the implementation of this calculation. It is concluded that, the reduction of computational time and effort can be achieved in addition to the importance of transformation from the month coordinates into the annual coordinates for either exact correlation or simplicity.

Family Income Consumption, Economic Profile, Neural Network, Domestic Energy Cost, Developing Countries

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