Cited by 223Smart Grid Energy ManagementElectric Vehicles and InfrastructureElectric Power System Optimization

Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support

López, M.A., de la Torre, S., Martín, S., Aguado, J.A.·2015·International Journal of Electrical Power & Energy Systems

Integrity signals

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Crossref · 10.1016/j.ijepes.2014.07.065

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39 of 39 references verified0 citation errors · 0 not checkable

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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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Authors
López, M. A., de la Torre, S., Martín, S., & Aguado, J. A.
Affiliations
Universidad de Málaga (ES)
Corresponding author
López, M.A.
Venue
International Journal of Electrical Power & Energy Systems
Publisher
Elsevier BV
Published
2015-01
Volume
64
Pages
689-698
ISSN
0142-0615 (ISSN-L)
OpenAlex
W2080751096
Cited by
221
References
39
Citations by year
2026: 6 · 2025: 12 · 2024: 7 · 2023: 18 · 2022: 22 · 2021: 27 · 2020: 23 · 2019: 28 · 2018: 22 · 2017: 20 · 2016: 17 · 2015: 16 · 2014: 2
FWCI
9.16
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Electrical Power & Energy Systems (publishedVersion)
Funders
  • Ministerio de Economía y Competitividad
  • Junta de Andalucía
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 › Electric Power System Optimization
Keywords
demand-side management, smart grid operation, vehicle-to-grid, electric vehicle aggregators, load curve flattening, congestion management, price-sensitive demand, energy storage management, distribution networks

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