A plug and play artificial intelligent architecture for smart local energy systems integration
Morris, Euan and McArthur, Stephen (2021) A plug and play artificial intelligent architecture for smart local energy systems integration. EnergyREV, [S.I.].
Full text not available in this repository.Request a copyAbstract
For smart local energy systems (SLES) to be truly 'smart' they must be capable of managing complex interactions between data, users and the physical devices which make up the network, while also meeting the key criteria of flexibility, scalability, and reusability. To investigate the potential for Plug and Play Artificial Intelligence techniques to help in meeting these aims, a Multi-Agent Systems approach was taken to facilitate the trading of energy between a range of simulated SLES units. This solution was successfully deployed on top of the existing control system for each of these units. The testing results look promising, with multi-agent systems being a good fit for the implementation of SLES functionality.
ORCID iDs
Morris, Euan ORCID: https://orcid.org/0000-0001-7799-1402 and McArthur, Stephen ORCID: https://orcid.org/0000-0003-1312-8874;-
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Item type: Report ID code: 78488 Dates: DateEvent18 October 2021PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 10 Nov 2021 14:16 Last modified: 11 Nov 2024 15:54 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/78488