Issue |
E3S Web Conf.
Volume 501, 2024
International Conference on Computer Science Electronics and Information (ICCSEI 2023)
|
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Article Number | 01009 | |
Number of page(s) | 7 | |
Section | Applied Computer Science and Electronics for sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202450101009 | |
Published online | 18 March 2024 |
Fuzzy logic-based energy management in IoT-Enabled buildings
1 Head of IT department at Baku Business University, 88a H. Zardabi St. Baku, AZ1122, Azerbaijan and Lecturer at Odlar Yurdu University, Baku, AZ1072, Azerbaijan
2 Baku Business University, 88a H. Zardabi St. Baku, AZ1122, Azerbaijan
3 Baku Business University, 88a H. Zardabi St. Baku, AZ1122, Azerbaijan
4 Baku Business University, 88a H. Zardabi St. Baku, AZ1122, Azerbaijan
5 Azerbaijan University of Languages, 134 Rashid Behbudov St, Baku, Azerbaijan
* Corresponding author: rahib.aydinoglu@gmail.com
The growth of the Internet of Things (IoT) has brought about the need for effi-cient energy management in buildings. This challenge has led to the development of various energy management systems that utilize different approaches. In this article, a fuzzy logic-based approach is proposed for energy management in IoT-enabled buildings. The system utilizes data from various sensors and devices to determine the optimal energy consumption levels for different areas of the build-ing. Fuzzy logic is used to analyze the data and make decisions about energy us-age, taking into account various factors such as occupancy levels, weather condi-tions, and user preferences. Simulation studies have shown that the fuzzy logic-based system can significantly reduce energy consumption while maintaining us-er comfort levels. The system can be implemented in various contexts, such as commercial, residential, or industrial buildings. The proposed system has the po-tential to improve energy efficiency and reduce costs, contributing to a more sus-tainable and environmentally-friendly future. Overall, the fuzzy logic-based ener-gy management system is a promising solution to the challenges of energy man-agement in IoT-enabled buildings.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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