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Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant
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“Similarly, in the energy sector, smart grids equipped with IoT sensors and smart contracts can facilitate automated energy trading based on real-time energy consumption data, enabling peer-to-peer transactions and optimized resource utilization [19].”
From IoT and Blockchain for Support for Smart Contracts Through TpM (2025) · cites this paper as [19]
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Metadata
- Authors
- Yang, Q., Wang, H., Wang, T., Zhang, S., Wu, X., & Wang, H.
- Affiliations
- Shenzhen University (CN)
- Corresponding author
- Wang, Hao
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 294
- Pages
- 117026
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W3158601778
- Cited by
- 238
- References
- 44
- Citations by year
- 2026: 25 · 2025: 59 · 2024: 65 · 2023: 47 · 2022: 32 · 2021: 10
- FWCI
- 11.32
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Applied Energy (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Keywords
- blockchain, virtual power plants, distributed energy resources, residential energy management, distributed optimization, energy trade, demand response, energy storage, electric vehicles, renewable energy, energy scheduling, network services, privacy preservation, decentralized power systems
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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