Energy management maturity model based on fuzzy logic

Veysel Çoban; Sezi Çevik Onar

doi:10.1007/978-3-030-23756-1_122

Energy management maturity model based on fuzzy logic

Veysel Çoban^*
, Sezi Çevik Onar

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Bozok University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	1034-1041
Sayfa sayısı	8
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_122
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Türkiye Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 7 Erişilebilir ve Temiz Enerji
SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1007/978-3-030-23756-1_122

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çoban, V., & Onar, S. Ç. (2020). Energy management maturity model based on fuzzy logic. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 1034-1041). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_122

Çoban, Veysel ; Onar, Sezi Çevik. / Energy management maturity model based on fuzzy logic. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 1034-1041 (Advances in Intelligent Systems and Computing).

@inproceedings{275b4f96c2204a7dbfffbe44a121d47b,

title = "Energy management maturity model based on fuzzy logic",

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.",

keywords = "Energy management, Fuzzy logic, Maturity model",

author = "Veysel {\c C}oban and Onar, \{Sezi {\c C}evik\}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1\_122",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "1034--1041",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Basar Oztaysi and Sari, \{Irem Ucal\} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Çoban, V & Onar, SÇ 2020, Energy management maturity model based on fuzzy logic. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 1034-1041, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Türkiye, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_122

Energy management maturity model based on fuzzy logic. / Çoban, Veysel; Onar, Sezi Çevik.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 1034-1041 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Energy management maturity model based on fuzzy logic

AU - Çoban, Veysel

AU - Onar, Sezi Çevik

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Energy management

KW - Fuzzy logic

KW - Maturity model

UR - https://www.scopus.com/pages/publications/85069521784

U2 - 10.1007/978-3-030-23756-1_122

DO - 10.1007/978-3-030-23756-1_122

M3 - Conference contribution

AN - SCOPUS:85069521784

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 1034

EP - 1041

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Çoban V, Onar SÇ. Energy management maturity model based on fuzzy logic. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 1034-1041. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_122

Energy management maturity model based on fuzzy logic

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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Alıntı Yap