The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.
Comprehensive Review of Building Energy Management Models: Grid-Interactive Efficient Building Perspective
Open accessAbstract
Energy management models for buildings have been designed primarily to reduce energy costs and improve efficiency. However, the focus has recently shifted to GEBs with a view toward balancing energy supply and demand while enhancing system flexibility and responsiveness. This paper provides a comprehensive comparative analysis of GEBs and other building energy management models, categorizing their features into internal and external dimensions. This review highlights the evolution of building models, including intelligent buildings, smart buildings, green buildings, and zero-energy buildings, and introduces eight distinct features of GEBs related to their efficient, connected, smart, and flexible aspects. The analysis is based on an extensive literature review and a detailed comparison of building models across the aforementioned features. GEBs prioritize interaction with the power grid, which distinguishes them from traditional models focusing on internal efficiency and occupant comfort. This paper also discusses the technological components and research trends associated with GEBs, providing insights into their development and potential evolution in the context of sustainable and efficient building design.
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In the citing paper
“an upper strategic level determines parameters such as time-varying tariffs or demand response targets, while a lower operational level executes these directives inside each building energy management system [52]”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [52]
In the citing paper
“Fast-acting processes, such as frequency regulation, often demand near-continuous communication at millisecond scales”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [52]
In the citing paper
“Data-driven forecasting enhances these distributed strategies by equipping agents with anticipatory decision-making abilities [52].”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [52]
In the citing paper
“slower thermal dynamics tolerate batched updates every few minutes or hours without compromising performance [52]”
From Explainable AI and Multi-Agent Systems for Energy Management in IoT-Edge Environments: A State of the Art Review (2026) · cites this paper as [52]
Citations
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Cited by
Sorted by citations
Moveh, S., Merchán-Cruz, E. A., Abuhussain, M., Dodo, Y. A., Alhumaid, S., & Alhamami, A. H. (2025) · Energies · doi:10.3390/en18061468 · Cited by 27
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Recent optimization methods and techniques in residential home energy management systems
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Metadata
- Authors
- Bayasgalan, A., Park, Y. S., Koh, S. B., & Son, S.-Y.
- Affiliations
- Gachon University (KR)
- Department of Next Generation Energy System Convergence Based-on Techno-Economics, College of IT Convergence, Global Campus, Gachon University, Seongnam-si 13120, Gyeonggi-do, Republic of Korea
- Corresponding author
- Son, Sung-Yong
- ORCID
- Son, Sung-Yong
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2024-09-25
- Volume
- 17
- Issue
- 19
- Pages
- 4794
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W4402825653
- Cited by
- 30
- References
- 129
- Citations by year
- 2026: 15 · 2025: 14 · 2024: 1
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Institute for Information & Communications Technology Planning & Evaluation (RS-2023-00259004, No. 20214000000060)
- Korea Institute of Energy Technology Evaluation and Planning (RS-2023-00259004, No. 20214000000060)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- grid-interactive efficient buildings, building flexibility, smart buildings, sustainable construction, zero energy buildings, energy efficiency, sustainable building design
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