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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Mcarthur, Stephen
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (6/6 displayed)
- 2021A plug and play artificial intelligent architecture for smart local energy systems integration
- 2019Extracting distribution network fault semantic labels from free text incident ticketscitations
- 2015Automated image stitching for fuel channel inspection of AGR cores
- 2013Automated image stitching for enhanced visual inspections of nuclear power stations
- 2007An automated intelligent analysis system for analysing reactor refuelling events
- 2004The industrialisation of a multi-agent system for power transformer condition monitoringcitations
Places of action
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report
A plug and play artificial intelligent architecture for smart local energy systems integration
Abstract
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.<br/> <br/>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.<br/> <br/>The testing results look promising, with multi-agent systems being a good fit for the implementation of SLES functionality.