Abstract
This research provides a comprehensive literature overview and bibliometric evaluation of multi-agent system (MAS) implementation in energy demand response (DR) to identify gaps. The review encompasses 39 relevant papers from searches in three academic databases, focusing on studies published from 2012 to the middle of 2023. The review includes MAS frameworks, optimization algorithms, communication protocols, market structures and evaluation methodologies. Bibliometric analysis of 587 documents from the search on the Scopus database identified prolific authors, influential articles and collaborative networks within the field. The findings reveal growing research interest in implementing an MAS for DR, focusing on integrating intelligent agents into electricity grids to enable effective load management and enhance grid stability. Additionally, the review outlines potential research directions, including exploring advanced MAS techniques, interoperability challenges, policy implications and the integration of renewable energy sources.
| Original language | English |
|---|---|
| Pages (from-to) | 1179-1210 |
| Number of pages | 32 |
| Journal | AIMS Energy |
| Volume | 11 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 13 Climate Action
Keywords
- demand response
- distributed electricity generation
- energy management
- grid reliability
- multi-agent systems
- renewable energy sources
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Fuel Technology
- Energy Engineering and Power Technology
Fingerprint
Dive into the research topics of 'Multi-agent system implementation in demand response: A literature review and bibliometric evaluation'. Together they form a unique fingerprint.Press/Media
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver