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Multi-agent systems applications in energy optimization problems: a state-of-the-art review

This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and their application to energy optimization problems. This methodology and related tools have contributed to changes in various paradigms used in energy optimization. Behavior and interactions between agents are ke...

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Main Authors:	González-Briones, Alfonso, De La Prieta, Fernando, Mohamad, Mohd Saberi, Omatu, Sigeru, M. Corchado, Juan
Format:	Indexed Article
Language:	English
Published:	2018
Online Access:	http://discol.umk.edu.my/id/eprint/7351/1/energies-11-01928.pdf http://discol.umk.edu.my/id/eprint/7351/ https://www.mdpi.com/1996-1073/11/8/1928/htm
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spelling	my.umk.eprints.73512022-05-23T15:43:39Z http://discol.umk.edu.my/id/eprint/7351/ Multi-agent systems applications in energy optimization problems: a state-of-the-art review González-Briones, Alfonso De La Prieta, Fernando Mohamad, Mohd Saberi Omatu, Sigeru M. Corchado, Juan This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and their application to energy optimization problems. This methodology and related tools have contributed to changes in various paradigms used in energy optimization. Behavior and interactions between agents are key elements that must be understood in order to model energy optimization solutions that are robust, scalable and context-aware. The concept of MAS is introduced in this paper and it is compared with traditional approaches in the development of energy optimization solutions. The different types of agent-based architectures are described, the role played by the environment is analysed and we look at how MAS recognizes the characteristics of the environment to adapt to it. Moreover, it is discussed how MAS can be used as tools that simulate the results of different actions aimed at reducing energy consumption. Then, we look at MAS as a tool that makes it easy to model and simulate certain behaviors. This modeling and simulation is easily extrapolated to the energy field, and can even evolve further within this field by using the Internet of Things (IoT) paradigm. Therefore, we can argue that MAS is a widespread approach in the field of energy optimization and that it is commonly used due to its capacity for the communication, coordination, cooperation of agents and the robustness that this methodology gives in assigning different tasks to agents. Finally, this article considers how MASs can be used for various purposes, from capturing sensor data to decision-making. We propose some research perspectives on the development of electrical optimization solutions through their development using MASs. In conclusion, we argue that researchers in the field of energy optimization should use multi-agent systems at those junctures where it is necessary to model energy efficiency solutions that involve a wide range of factors, as well as context independence that they can achieve through the addition of new agents or agent organizations, enabling the development of energy-efficient solutions for smart cities and intelligent buildings. 2018 Indexed Article NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/7351/1/energies-11-01928.pdf González-Briones, Alfonso and De La Prieta, Fernando and Mohamad, Mohd Saberi and Omatu, Sigeru and M. Corchado, Juan (2018) Multi-agent systems applications in energy optimization problems: a state-of-the-art review. Energies, 11 (8). pp. 1-28. ISSN 1996-1073 https://www.mdpi.com/1996-1073/11/8/1928/htm
institution	Universiti Malaysia Kelantan
building	Perpustakaan Universiti Malaysia Kelantan
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Kelantan
content_source	UMK Institutional Repository
url_provider	http://umkeprints.umk.edu.my/
language	English
description	This article reviews the state-of-the-art developments in Multi-Agent Systems (MASs) and their application to energy optimization problems. This methodology and related tools have contributed to changes in various paradigms used in energy optimization. Behavior and interactions between agents are key elements that must be understood in order to model energy optimization solutions that are robust, scalable and context-aware. The concept of MAS is introduced in this paper and it is compared with traditional approaches in the development of energy optimization solutions. The different types of agent-based architectures are described, the role played by the environment is analysed and we look at how MAS recognizes the characteristics of the environment to adapt to it. Moreover, it is discussed how MAS can be used as tools that simulate the results of different actions aimed at reducing energy consumption. Then, we look at MAS as a tool that makes it easy to model and simulate certain behaviors. This modeling and simulation is easily extrapolated to the energy field, and can even evolve further within this field by using the Internet of Things (IoT) paradigm. Therefore, we can argue that MAS is a widespread approach in the field of energy optimization and that it is commonly used due to its capacity for the communication, coordination, cooperation of agents and the robustness that this methodology gives in assigning different tasks to agents. Finally, this article considers how MASs can be used for various purposes, from capturing sensor data to decision-making. We propose some research perspectives on the development of electrical optimization solutions through their development using MASs. In conclusion, we argue that researchers in the field of energy optimization should use multi-agent systems at those junctures where it is necessary to model energy efficiency solutions that involve a wide range of factors, as well as context independence that they can achieve through the addition of new agents or agent organizations, enabling the development of energy-efficient solutions for smart cities and intelligent buildings.
format	Indexed Article
author	González-Briones, Alfonso De La Prieta, Fernando Mohamad, Mohd Saberi Omatu, Sigeru M. Corchado, Juan
spellingShingle	González-Briones, Alfonso De La Prieta, Fernando Mohamad, Mohd Saberi Omatu, Sigeru M. Corchado, Juan Multi-agent systems applications in energy optimization problems: a state-of-the-art review
author_facet	González-Briones, Alfonso De La Prieta, Fernando Mohamad, Mohd Saberi Omatu, Sigeru M. Corchado, Juan
author_sort	González-Briones, Alfonso
title	Multi-agent systems applications in energy optimization problems: a state-of-the-art review
title_short	Multi-agent systems applications in energy optimization problems: a state-of-the-art review
title_full	Multi-agent systems applications in energy optimization problems: a state-of-the-art review
title_fullStr	Multi-agent systems applications in energy optimization problems: a state-of-the-art review
title_full_unstemmed	Multi-agent systems applications in energy optimization problems: a state-of-the-art review
title_sort	multi-agent systems applications in energy optimization problems: a state-of-the-art review
publishDate	2018
url	http://discol.umk.edu.my/id/eprint/7351/1/energies-11-01928.pdf http://discol.umk.edu.my/id/eprint/7351/ https://www.mdpi.com/1996-1073/11/8/1928/htm
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score	13.211869

Multi-agent systems applications in energy optimization problems: a state-of-the-art review

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