A robust scalable demand-side management based on diffusion-ADMM strategy for smart grid
- Submitting institution
-
Nottingham Trent University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 5 - 1277817
- Type
- D - Journal article
- DOI
-
10.1109/jiot.2020.2968539
- Title of journal
- IEEE Internet of Things
- Article number
- -
- First page
- 3363
- Volume
- 7
- Issue
- 4
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
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A - Computing and Informatics Research Centre
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In collaboration with American University Dubai and Ilam University, Iran, a novel and scalable demand-side smart grid management including estimation and optimization parts has been established. On the demand side, the customers autonomously and cooperatively estimate the baseline price in real time to schedule their energy consumption and minimise their incommodity. On the supply side, the utility company determines the price parameters based on the customer's real-time behaviour to make profit and prevent infrastructure overload. The success in analysing the real-time price data of Pennsylvania–New Jersey–Maryland Interconnection electricity market (https://www.pjm.com/markets-and-operations/etools/data-miner-2/data-availability.aspx) testifies its global use and researchers in Internet-of-energy.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
