True real time pricing and combined power scheduling of electric appliances in residential energy management system
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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.”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [15]
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Watari, D., Zhao, D., Taniguchi, I., & Catthoor, F. (2025) · Springer eBooks · doi:10.1007/978-3-031-92025-7_5
- Authors
- Anees, A., & Chen, Y.-P. P.
- Affiliations
- La Trobe University (AU)
- Corresponding author
- Chen, Yi-Ping Phoebe
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 165
- Pages
- 592-600
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2223556150
- Cited by
- 70
- References
- 45
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 8 · 2021: 7 · 2020: 11 · 2019: 6 · 2018: 10 · 2017: 16 · 2016: 3
- FWCI
- 5.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Applied Energy (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 Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- real-time pricing, residential energy management, peak-to-average power ratio reduction, energy cost reduction
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