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.
Original language | English |
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Title of host publication | Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference |
Editors | Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 396-403 |
Number of pages | 8 |
ISBN (Print) | 9783031397738 |
DOIs | |
Publication status | Published - 2023 |
Event | Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 758 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference |
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Country/Territory | Turkey |
City | Istanbul |
Period | 22/08/23 → 24/08/23 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Artificial Intelligence
- Energy Saving Policies
- Household energy consumption