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http://bura.brunel.ac.uk/handle/2438/22755
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Xu, FY | - |
dc.contributor.author | Wang, X | - |
dc.contributor.author | Lai, LL | - |
dc.contributor.author | Lai, CS | - |
dc.date.accessioned | 2021-05-24T11:46:35Z | - |
dc.date.available | 2013-12-01 | - |
dc.date.available | 2021-05-24T11:46:35Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, 2013, pp. 1312 - 1316 | en_US |
dc.identifier.isbn | 9780769551548 | - |
dc.identifier.issn | 1062-922X | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/22755 | - |
dc.description.abstract | In this paper, both bottom-up and top-down models for demand response with agent-base approach and neural networks have been investigated. Simulations have been carried out with practical load data from the UK and Canada. Results show that each approach has its advantages and disadvantages depending on difference application scenarios. © 2013 IEEE. | en_US |
dc.format.extent | 1312 - 1316 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Residential customer | en_US |
dc.subject | demand response | en_US |
dc.subject | agent | en_US |
dc.subject | neural network | en_US |
dc.subject | decision making | en_US |
dc.title | Agent-based modeling and neural network for residential customer demand response | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/SMC.2013.227 | - |
dc.relation.isPartOf | Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 | - |
pubs.publication-status | Published | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | 480.62 kB | Adobe PDF | View/Open |
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