Energy management maturity model based on fuzzy logic

Veysel Çoban*, Sezi Çevik Onar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Control and correct planning of energy use in industry, which is the main heading of energy consumption, is important for energy efficiency. Developing energy policies to prevent price and demand uncertainties makes the use of energy more effective. Energy management ensures the continuity of energy resources by directing the correct use of energy and increasing energy efficiency. Energy management maturity model is used as an important tool in evaluating and improving institutional energy efficiency. This study deals with the development of a realistic model that incorporates the uncertainty and vagueness in the energy management system that enterprises face in the efficient use of energy. The hesitancy and uncertainty situations encountered in the evaluation phase of the energy management maturity model (EM3) that is developed for the purpose of increasing the site, network and institutional energy efficiency are overcome by using linguistic expressions corresponding to the maturity levels.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
PublisherSpringer Verlag
Pages1034-1041
Number of pages8
ISBN (Print)9783030237554
DOIs
Publication statusPublished - 2020
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey
Duration: 23 Jul 201925 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1029
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2019
Country/TerritoryTurkey
CityIstanbul
Period23/07/1925/07/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Energy management
  • Fuzzy logic
  • Maturity model

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