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 language | English |
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Title of host publication | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference |
Editors | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga |
Publisher | Springer Verlag |
Pages | 1034-1041 |
Number of pages | 8 |
ISBN (Print) | 9783030237554 |
DOIs | |
Publication status | Published - 2020 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Duration: 23 Jul 2019 → 25 Jul 2019 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Volume | 1029 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 23/07/19 → 25/07/19 |
Bibliographical note
Publisher Copyright:© 2020, Springer Nature Switzerland AG.
Keywords
- Energy management
- Fuzzy logic
- Maturity model