| Title |
A Resource-Based Model for Home Energy Management Using Multi-Agent Systems |
| ID_Doc |
70170 |
| Authors |
Martins, S; Rossetti, RJF; Kokkinogenis, Z |
| Title |
A Resource-Based Model for Home Energy Management Using Multi-Agent Systems |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/ISC253183.2021.9562901 |
| Abstract |
Home Energy Management Systems (HEMS) stem as a promising solution to improve sustainable patterns of energy consumption within Smart Homes, which could significantly contribute to achieving the United Nation's sustainable development goals. In this paper, we present a resource-based reference model of such a system, which is based on the Multi-Agent systems (MAS) paradigm. Our model builds upon existing distributed demand-side management strategies, where agents are involved in a proposal-based business process leading to a schedule that organises the activation of the Smart Home's appliances. The proposed model serves as a starting point for implementing the Home Energy Management System and for future simulations that will validate the effectiveness of this solution. |
| Author Keywords |
Home Energy Management Systems; Multi-Agent Systems; Resource-based Model; Market-based Model; Demand Side Management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000853860800048 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Green & Sustainable Science & Technology; Engineering, Multidisciplinary |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
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