Cited by 170Smart Grid Energy ManagementElectric Vehicles and InfrastructureIoT-based Smart Home Systems

Multi-objective home energy management with battery energy storage systems

Lokeshgupta, B., Sivasubramani, S.·2019·Sustainable Cities and Society

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Crossref · 10.1016/j.scs.2019.101458

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  • The presented method is more inclusive than other DSM examples in the literature, which only allow users with storage systems, smart appliances, EVs, or similar to participate.

    “Moreover, the presented method is more inclusive than other DSM examples from the literature, where only users with storage systems [14], smart appliances [15], EVs [16] or similar can participate.”

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References 33 · Cited by 170

Authors
Lokeshgupta, B., & Sivasubramani, S.
Affiliations
Indian Institute of Technology Patna (IN)
Corresponding author
Sivasubramani, S.
Venue
Sustainable Cities and Society
Publisher
Elsevier BV
Published
2019-05
Volume
47
Pages
101458
ISSN
2210-6707 (ISSN-L)
OpenAlex
W2914046382
Cited by
170
References
33
Citations by year
2026: 9 · 2025: 12 · 2024: 25 · 2023: 28 · 2022: 29 · 2021: 31 · 2020: 31 · 2019: 5
FWCI
8.63
Type
journal article
Language
en
Open access
closed
Locations
Sustainable Cities and Society (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
Keywords
home energy management systems, battery energy storage, demand-side management, multi-objective optimization, mixed-integer linear programming, peak shaving, electricity cost reduction, load uncertainty, smart grid, residential customers

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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.

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