Alkassem, Abdulrahman, Khan, Zafar A., AlKaabi, Mishaal, Alharbi, Bader, Kazmi, Syed Ali Abbas and Al-Haddad, Kamal.
2025.
« An improved MCDM model to support smart energy management system in smart grid paradigm ».
IEEE Access, vol. 13.
pp. 102407-102420.
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Abstract
Smart grid development is required to accommodate the integration of renewable generation resources into systems. Energy management is improved by smart devices that allow two-way communication. A multi-criteria decision analysis framework is used in this study to provide a model for decision making. Prior to communicating with the energy market aggregator, it considers the human-oriented viewpoint to offer an interface with a smart device within smart grid system. In this research, the proposed framework is utilized for decision-making optimization based on six criteria, evaluated using three multi-criteria decision-making techniques. To assess criteria, a thorough investigation has been undertaken across five load classes aiming at demand side management (DSM) options from high load class to lowest load class and concerned load-generation balance. The findings of this research make it convenient for the framework that communicates the actual results of the energy system and the energy markets aggregator for an energy management plan. The findings of this study support the development of a framework that effectively communicates the actual performance of the energy system and the energy markets aggregator for an energy management plan. The results have been evaluated using sensitivity analysis across five DSM options, and trade-off studies have been conducted to support effective decision-making in practice. Finally, this research offers a cost-effective, clean, and efficient system configuration aimed at consumer preferences.
| Item Type: | Peer reviewed article published in a journal |
|---|---|
| Professor: | Professor Al Haddad, Kamal |
| Affiliation: | Génie électrique |
| Date Deposited: | 30 Jun 2025 20:28 |
| Last Modified: | 08 Aug 2025 20:58 |
| URI: | https://espace2.etsmtl.ca/id/eprint/31082 |
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