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All Journal Bulletin of Electrical Engineering and Informatics
Parviz Yunusov
South Ural State University (National Research University)
Electrical & Electronics Engineering

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Journal : Bulletin of Electrical Engineering and Informatics

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Learning algorithm of artificial neural network factor forecasting power consumption of users Tavarov Saijon Shiralievich; Sidorov Alexander Ivanovic; Shonazarova Shakhnoza Mamanazarovna; Sultonov Olamafruz Olimovich; Parviz Yunusov
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3172

Abstract

Seasonal fluctuations in electricity consumption, an uneven load of supply lines reduce not only the indicator of energy efficiency of networks but also contribute to a decrease in the service life of elements of power supply systems. Revealing the patterns of such fluctuations makes it possible to build models of power consumption, predict its dynamics, which in general will contribute to ensuring the energy efficiency of urban electrical networks and increasing the reliability of power supply systems. A computational, computer and neural network model is proposed that allows to increase the accuracy of the forecast of electricity consumption by household consumers. Based on the developed mathematical model, taking into account the obtained factor coefficients - ti, h, c, s, k for 2020 for 9 cities of the Republic of Tajikistan, monthly coefficients characterizing the terrain conditions (αi)  were calculated. The results obtained using the proposed method was compared with the results of a computer and neural network model.
Co-Authors Shonazarova Shakhnoza Mamanazarovna Sidorov Alexander Ivanovic Sultonov Olamafruz Olimovich Tavarov Saijon Shiralievich