Artificial Intelligence and Household Energy-Saving Policies: A Literature Review

Samrand Toufani; Irem Ucal Sari; Gizem Intepe

doi:10.1007/978-3-031-39774-5_46

Artificial Intelligence and Household Energy-Saving Policies: A Literature Review

Samrand Toufani, Irem Ucal Sari^*, Gizem Intepe

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Western Sydney University

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

Özet

The increasing need for energy in the world brings the necessity for efficient use of resources. Energy efficiency can be examined under three headings; efficiency in energy production, distribution, and consumption. In particular, the prevention of losses in energy consumption is directly related to the habits of the users. It can be predicted that researching the current level of energy-consuming activities, determining the activities that can increase energy saving, and taking and implementing the necessary measures in these areas will greatly reduce the energy need. This study examines studies focusing on the impact of consumer habits on energy saving. Namely, energy consumption habits, energy control mechanisms, and building energy efficiency applications, which have an important dimension in end-user energy consumption, are examined in order to develop energy-saving policies for the end user. The study also examines artificial intelligence applications in energy-saving literature.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editörler	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	396-403
Sayfa sayısı	8
ISBN (Basılı)	9783031397738
DOI'lar	https://doi.org/10.1007/978-3-031-39774-5_46
Yayın durumu	Yayınlandı - 2023
Etkinlik	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Süre: 22 Ağu 2023 → 24 Ağu 2023

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	758 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

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

???event.eventtypes.event.conference???	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	22/08/23 → 24/08/23

Bibliyografik not

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-031-39774-5_46

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Toufani, S., Ucal Sari, I., & Intepe, G. (2023). Artificial Intelligence and Household Energy-Saving Policies: A Literature Review. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 396-403). (Lecture Notes in Networks and Systems; Hac. 758 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-39774-5_46

Toufani, Samrand ; Ucal Sari, Irem ; Intepe, Gizem. / Artificial Intelligence and Household Energy-Saving Policies : A Literature Review. Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. editör / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 396-403 (Lecture Notes in Networks and Systems).

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title = "Artificial Intelligence and Household Energy-Saving Policies: A Literature Review",

abstract = "The increasing need for energy in the world brings the necessity for efficient use of resources. Energy efficiency can be examined under three headings; efficiency in energy production, distribution, and consumption. In particular, the prevention of losses in energy consumption is directly related to the habits of the users. It can be predicted that researching the current level of energy-consuming activities, determining the activities that can increase energy saving, and taking and implementing the necessary measures in these areas will greatly reduce the energy need. This study examines studies focusing on the impact of consumer habits on energy saving. Namely, energy consumption habits, energy control mechanisms, and building energy efficiency applications, which have an important dimension in end-user energy consumption, are examined in order to develop energy-saving policies for the end user. The study also examines artificial intelligence applications in energy-saving literature.",

keywords = "Artificial Intelligence, Energy Saving Policies, Household energy consumption",

author = "Samrand Toufani and {Ucal Sari}, Irem and Gizem Intepe",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference ; Conference date: 22-08-2023 Through 24-08-2023",

year = "2023",

doi = "10.1007/978-3-031-39774-5_46",

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publisher = "Springer Science and Business Media Deutschland GmbH",

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booktitle = "Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference",

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Toufani, S, Ucal Sari, I & Intepe, G 2023, Artificial Intelligence and Household Energy-Saving Policies: A Literature Review. in C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, hac. 758 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 396-403, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39774-5_46

Artificial Intelligence and Household Energy-Saving Policies: A Literature Review. / Toufani, Samrand; Ucal Sari, Irem; Intepe, Gizem.
Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 396-403 (Lecture Notes in Networks and Systems; Hac. 758 LNNS).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Artificial Intelligence and Household Energy-Saving Policies

T2 - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

AU - Toufani, Samrand

AU - Ucal Sari, Irem

AU - Intepe, Gizem

PY - 2023

Y1 - 2023

N2 - The increasing need for energy in the world brings the necessity for efficient use of resources. Energy efficiency can be examined under three headings; efficiency in energy production, distribution, and consumption. In particular, the prevention of losses in energy consumption is directly related to the habits of the users. It can be predicted that researching the current level of energy-consuming activities, determining the activities that can increase energy saving, and taking and implementing the necessary measures in these areas will greatly reduce the energy need. This study examines studies focusing on the impact of consumer habits on energy saving. Namely, energy consumption habits, energy control mechanisms, and building energy efficiency applications, which have an important dimension in end-user energy consumption, are examined in order to develop energy-saving policies for the end user. The study also examines artificial intelligence applications in energy-saving literature.

AB - The increasing need for energy in the world brings the necessity for efficient use of resources. Energy efficiency can be examined under three headings; efficiency in energy production, distribution, and consumption. In particular, the prevention of losses in energy consumption is directly related to the habits of the users. It can be predicted that researching the current level of energy-consuming activities, determining the activities that can increase energy saving, and taking and implementing the necessary measures in these areas will greatly reduce the energy need. This study examines studies focusing on the impact of consumer habits on energy saving. Namely, energy consumption habits, energy control mechanisms, and building energy efficiency applications, which have an important dimension in end-user energy consumption, are examined in order to develop energy-saving policies for the end user. The study also examines artificial intelligence applications in energy-saving literature.

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KW - Energy Saving Policies

KW - Household energy consumption

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DO - 10.1007/978-3-031-39774-5_46

M3 - Conference contribution

AN - SCOPUS:85171998756

SN - 9783031397738

T3 - Lecture Notes in Networks and Systems

SP - 396

EP - 403

BT - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Tolga, A. Çağrı

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 22 August 2023 through 24 August 2023

ER -

Toufani S, Ucal Sari I, Intepe G. Artificial Intelligence and Household Energy-Saving Policies: A Literature Review. In Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, editörler, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 396-403. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39774-5_46

Artificial Intelligence and Household Energy-Saving Policies: A Literature Review

Özet

Yayın serisi

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Bibliyografik not

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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