A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities
Abstract
Abstract In recent years, smart cities have emerged with energy conservation systems for managing energy in cities as well as buildings. Although many studies on energy conservation systems of smart homes have already been conducted, energy management at the city level is still a challenge due to the various building types and complex infrastructure. Therefore, this paper investigated the research themes on smart homes and cities through a quantitative review and identified barriers to the progression of smart homes to sustainable smart cities through a qualitative review. Based on the results of the holistic framework of each domain (smart home and city) and the techno-functional barriers, this study suggests that the following innovative solutions be suitably applied to advanced energy conservation systems in sustainable smart cities: (i) construction of infrastructure for advanced energy conservation systems, and (ii) adoption of a new strategy for energy trading in distributed energy systems. Especially, to reflect consumer behavior and energy in sustainable smart cities, the following responses to future research challenges according to the “bottom-up approach (smart home level to smart city level)” are proposed: (i) development of real-time energy monitoring, diagnostics and controlling technologies; (ii) application of intelligent energy management technologies; and (iii) implementation of integrated energy network technologies at the city level. This paper is expected to play a leading role as a knowledge-based systematic guide for future research on the implementation of energy conservation systems in sustainable smart cities.
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Several studies have been conducted on emerging environmentally sustainable smart cities.
“Several studies have, in more recent years, been conducted on emerging environmentally sustainable smart cities”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Kim et al. 2021
There has recently been an upsurge in research and practice outputs on environmentally sustainable smart cities.
“As a result, there has recently been an upsurge in research and practice outputs on environmentally sustainable smart cities”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Kim et al. 2021
Environmentally sustainable smart cities roughly started to emerge from 2017 onwards.
“This roughly started from 2017 onwards”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Kim et al. 2021
Data-driven smart urbanism is increasingly providing a plethora of applied innovative solutions to deal with the environmental pathologies pertaining to energy consumption, pollution, traffic congestion, mobility ineffectiveness, hazardous waste, unsustainable material, resource depletion, biodiversity loss, and climate change crisis.
“data-driven smart urbanism is increasingly providing a plethora of applied innovative solutions to deal with the environmental pathologies pertaining to energy consumption, pollution, traffic congestion, mobility ineffectiveness, hazardous waste, unsustainable material, resource depletion, biodiversity loss, and climate change crisis.”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Kim et al. 2021
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Bibri, S. E., Alexandre, A., Sharifi, A., & Krogstie, J. (2023) · Energy Informatics · doi:10.1186/s42162-023-00259-2 · Cited by 299 · see citing works
Zhu, H., Goh, H. H., Zhang, D., Ahmad, T., Liu, H., Wang, S., Li, S., Liu, T., Dai, H., & Wu, T. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.129809 · Cited by 131 · see citing works
- Authors
- Kim, H., Choi, H., Kang, H., An, J., Yeom, S., & Hong, T.
- Affiliations
- Yonsei University (KR)
- Corresponding author
- Hong, Taehoon
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 140
- Pages
- 110755
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W3127982897
- Semantic Scholar
- 652b857fcdba25b548f21dd6b3ad77babefbf623
- Cited by
- 367
- References
- 185
- Citations by year
- 2026: 29 · 2025: 65 · 2024: 95 · 2023: 87 · 2022: 71 · 2021: 20
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Ministry of Land, Infrastructure and Transport
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- home automation, smart sustainable cities, distributed energy systems, energy trade, real-time energy monitoring, smart energy management, consumer energy behavior
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