A survey on residential demand side management architecture, approaches, optimization models and methods
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On a residential level, the main driver for demand-side management methods is the minimization of the electricity cost.
“Typically, on a residential level, the main driver for DSM methods is the minimization of the electricity cost (first category)”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [10]
Works on optimization for residential demand management can typically be divided into three categories depending on their objective: electricity bill minimization, user discomfort minimization, and maximization of local generation use.
“They can typically be divided into three categories, depending on their objective [10]: electricity bill minimization, user discomfort minimization and maximization of local generation use.”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [10]
A large number of works explore the use of optimization to address residential demand management.
“A large number of works explore the use of optimization to address residential demand management; a comprehensive overview is given in [10].”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [10]
Cites
Demand side management in smart grid using heuristic optimization
Logenthiran, T., Srinivasan, D., & Shun, T. Z. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2195686 · Cited by 1,229 · see citing works
Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z. (2011) · 2011 IEEE GLOBECOM Workshops (GC Wkshps) · doi:10.1109/glocomw.2011.6162372 · Cited by 157 · see citing works
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All you need to know about model predictive control for buildings
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., et al. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.09.001 · Cited by 1,020 · see citing works
An overview of Demand Response: Key-elements and international experience
Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.167 · Cited by 640 · see citing works
Serale, G., Fiorentini, M., Capozzoli, A., Bernardini, D., & Bemporad, A. (2018) · Energies · doi:10.3390/en11030631 · Cited by 637 · see citing works
Ten Questions Concerning Model Predictive Control for Energy Efficient Buildings
Killian, M., & Kozek, M. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.05.034 · Cited by 463 · see citing works
Meng, F., Lu, Z., Li, X., Han, W., Peng, J., Liu, X., & Niu, Z. (2024) · Energy · doi:10.1016/j.energy.2024.130303 · Cited by 43 · see citing works
Soetedjo, A., Nakhoda, Y. I., & Saleh, C. (2019) · Energies · doi:10.3390/en12193655 · Cited by 11 · see citing works
Congestion mitigation in unbalanced residential networks with OPF-based demand management
Vanin, M., Van Acker, T., Ergun, H., D’hulst, R., Vanthournout, K., & Van Hertem, D. (2022) · Sustainable Energy, Grids and Networks · doi:10.1016/j.segan.2022.100936 · Cited by 7 · see citing works
- Authors
- Esther, B. P., & Kumar, K. S.
- Affiliations
- Vellore Institute of Technology University (IN)
- Corresponding author
- Kumar, K. Sathish
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 59
- Pages
- 342-351
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2271187934
- Cited by
- 264
- References
- 2
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 23 · 2023: 20 · 2022: 30 · 2021: 24 · 2020: 39 · 2019: 37 · 2018: 32 · 2017: 31 · 2016: 10
- FWCI
- 16.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Renewable and Sustainable Energy Reviews (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- demand-side management, household energy consumption, smart grid, peak shaving, optimization model, electricity bill minimization, load factor, stochastic optimization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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