Analysis of modern approaches for the prediction of electric energy consumption-Reference-Cited by-同舟云学术

Analysis of modern approaches for the prediction of electric energy consumption

Published:2020-04-28 Issue:1 Volume:10 Page:350-361
ISSN:2391-5439
Container-title:Open Engineering
language:
Short-container-title:

Author:

Kalimoldayev Maksat¹,Drozdenko Aleksey²,Koplyk Igor²,Marinich T.²,Abdildayeva Assel³,Zhukabayeva Tamara³

Affiliation:

1. Institute of Information and Computational Technologies of the Cabinet of Sciences of the Ministry of Education and Science of Kazakhstan, AstanaKazakhstan

2. Sumy State University, SumyUkraine

3. Institute of Information and Computational Technologies of the Cabinet of Sciences of the Ministry of Education and Science of Kazakhstan,Department of Information Technologies, L.N. Gumilyov Eurasian National University, 010008, Astana, Kazakhstan

Abstract

AbstarctA review of modern methods of forming a mathematical model of power systems and the development of an intelligent information system for monitoring electricity consumption. The main disadvantages and advantages of the existing modeling approaches , as well as their applicability to the energy systems of Ukraine and Kazakhstan,are identified. The main factors that affect the dynamics of energy consumption are identified. A list of the main tasks that need to be implemented in order to develop algorithms for predicting electricity demand for various objects, industries and levels has been developed.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering,Environmental Engineering

Link

https://www.degruyter.com/document/doi/10.1515/eng-2020-0028/pdf

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