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© 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Recent years have defined the need to reduce gas emissions to fight climate change, and society’s move to green energies is important to make responsible use of non-renewable energies. Therefore, it is now important to use technologies to optimize the use of actual energy sources. In this aspect, the Internet of Things (IoT) technology has had a great impact on society. Hence, this research work aims to use IoT technology and multi-agent systems to optimize the use of central heating installation in buildings. It is intended to improve the user’s comfort, reduce the consumption of energy and reduce the financial costs. Therefore, a multi-agent system is proposed to collect data from sensors located in a smart-home and obtain the best action to perform in a central heating system. The decisions will be taken by an intelligent agent based on fuzzy logic. This technology will allow for generating the control action with a fuzzy controller. The results obtained show that the proposal improves the actual system in terms of users’ comfort and financial and energy savings.

Details

Title
Central Heating Cost Optimization for Smart-Homes with Fuzzy Logic and a Multi-Agent Architecture
Author
Jiménez-Bravo, Diego M  VIAFID ORCID Logo  ; Álvaro Lozano Murciego  VIAFID ORCID Logo  ; Daniel H de la Iglesia  VIAFID ORCID Logo  ; De Paz, Juan F  VIAFID ORCID Logo  ; Gabriel Villarrubia González  VIAFID ORCID Logo 
First page
4057
Publication year
2020
Publication date
2020
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2414115994
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.