id: 31358
Title: Enterprise multi-level energy efficiency management system development
Authors: Makedon V., Dzeveluk A., Khaustova Y., Bieliakova O, Nazarenko I.
Keywords: energy efficiency, management system, neural network, algorithm, dynamic analysis.
Date of publication: 2022-08-09 08:59:51
Last changes: 2022-08-09 08:59:51
Year of publication: 2021
Summary: Improving the energy efficiency of the economy is a complex problem, the solution of which involves the development and implementation of a number of system solutions, at the level of both a country, a region and separate enterprises. Development of an enterprise multi-level energy efficiency management system is an important tool for improving the energy efficiency of an enterprise. The purpose of the study is to develop and improve models, methods and synthesis of data collection and processing tools of an enterprise multi-level energy efficiency management system with high technical and
economic characteristics. The theory of Petri nets and their expansion is used for building functional models of
an enterprise multi-level energy efficiency management system, the theory of solving the problems of multi-criteria optimization — for selection of an element base, methods of neural network technologies — for synthesis of intellectual data processing tools, the theory of hardware and software design for synthesis of information technology elements,
and the methods of object-oriented approach are used in the process of software development.
URI: http://repository.vsau.org/repository/getfile.php/31358.pdf
Publication type: Статті Scopus
Publication: International Journal of Energy, Environment and Economics. 2021. Vol. 29. № 1. Р. 73-91.
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Published by: Адміністратор
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