Abstract

The article is devoted to the creation of a method for using of neural networks approach in solving problems of energy efficiency management at the industrial enterprise. The method allows to obtain an approximate expected value of the energy intensity of production, depending on the values of the main factors affecting it. The multilayer perceptron was chosen as the type of neural network, synthesis of which was carried out by using the genetic algorithm. When sampling for the synthesis of a neural network, we used the results that were obtained by means of a priori ranking, correlation and regression analysis based on the statistical data of industrial enterprises in machine-building profile. The recommendations of the use of the method and the application of its results in the practical implementation at the industrial enterprise are given. Calculations based on the aforementioned method ensured a high precision of prediction of energy intensity values for industrial enterprises that were included in the sample during the synthesis of the neural network, and an acceptable error while testing on industrial enterprises from a test sample.

Highlights

  • The article is devoted to the creation of a method for using of neural networks approach in solving problems of energy efficiency management at the industrial enterprise

  • When sampling for the synthesis of a neural network, we used the results that were obtained by means of a priori ranking, correlation and regression analysis based on the statistical data of industrial enterprises in machine-building profile

  • Calculations based on the aforementioned method ensured a high precision of prediction of energy intensity values for industrial enterprises that were included in the sample during the synthesis of the neural network, and an acceptable error while testing on industrial enterprises from a test sample

Read more

Summary

JOURNAL ISSN PRINT ISSN ONLINE PUBLISHER FOUNDER

Svitlana Klepikova (2018). Neural networks application in managing the energy efficiency of industrial enterprise. Neuro-Fuzzy Modeling Techniques in Economics, 7(1), 62-73. doi:10.21511/nfmte.7.2018.04 http://dx.doi.org/10.21511/nfmte.7.2018.04 Thursday, 18 July 2019 Tuesday, 17 July 2018 Tuesday, 14 August 2018 This work is licensed under a Creative Commons Attribution 4.0 International License "Neuro-Fuzzy Modeling Techniques in Economics" 2306-3289 2415-3516 LLC “Consulting Publishing Company “Business Perspectives” State Higher Educational Establishment "Kyiv National Economic University named after Vadym Hetman"

KNEU named after Vadym Hetman
ЗАСТОСУВАННЯ НЕЙРОННИХ МЕРЕЖ В УПРАВЛІННІ ЕНЕРГОЕФЕКТИВНІСТЮ ПІДПРИЄМСТВА
ПРИМЕНЕНИЕ НЕЙРОННЫХ СЕТЕЙ В УПРАВЛЕНИИ ЭНЕРГОЭФФЕКТИВНОСТЬЮ ПРЕДПРИЯТИЯ
Выходной слой
Статистическое значение Y
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call