SYSTEM ANALYSIS, METHODS AND ALGORITHMS FOR DECISION MAKING TO INCREASE THE ENERGY EFFICIENCY OF SETTLEMENT
https://doi.org/10.34822/1999-7604-2020-1-6-12
Abstract
Cities today face many challenges, among which energy efficiency is a key requirement. This problem has been the subject of many works both in Russia and abroad. One way to improve the energy efficiency of a Smart city is to manage energy consumption in smart homes. This paper provides an analysis of two ways to improve the energy efficiency of Smart cities using agent training systems and the Internet of things. A comparative analysis of the proposed methods in terms of “The degree of energy consumption reduction” is made.
About the Authors
I. V. Kutuev
Department of Information Technology
and Communication of Surgut City, Surgut, Russia
Russian Federation
E-mail: kutuevivan@gmail.com
Russian Federation
E-mail: kutuevivan@gmail.com
D. A. Fedorov
Surgut State University, Surgut, Russia
Russian Federation
Russian Federation
K. I. Bushmeleva
Surgut State University, Surgut, Russia
Russian Federation
Russian Federation
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Review
For citations:
Kutuev I.V., Fedorov D.A., Bushmeleva K.I. SYSTEM ANALYSIS, METHODS AND ALGORITHMS FOR DECISION MAKING TO INCREASE THE ENERGY EFFICIENCY OF SETTLEMENT. Proceedings in Cybernetics. 2020;(1 (37)):6-12. (In Russ.) https://doi.org/10.34822/1999-7604-2020-1-6-12
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