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http://bura.brunel.ac.uk/handle/2438/22757
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | - | |
dc.contributor.author | Yang, Q | - |
dc.contributor.author | Lai, LL | - |
dc.contributor.author | Lai, CS | - |
dc.date.accessioned | 2021-05-24T12:27:57Z | - |
dc.date.available | 2013-01-01 | - |
dc.date.available | 2021-05-24T12:27:57Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Proceedings - International Conference on Machine Learning and Cybernetics, 2013, 1 pp. 104 - 107 | en_US |
dc.identifier.isbn | 9781479902576 | - |
dc.identifier.issn | 2160-133X | - |
dc.identifier.issn | 2160-1348 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/22757 | - |
dc.description.abstract | This paper studies the cost benefit analysis (CBA) methods that can improve the decision support capability of smart grid deployment. Critical review based on various methodologies adopted worldwide has been carried out and detailed analysis was conducted. The finding demonstrates as there are no agreed guidelines for CBA. Also in real-life situation, due to large amount of data and data quality could be low, it is suggested developing CBA methodology based upon intelligent techniques such as neural and evolutionary computing may have a good potential for the future. | en_US |
dc.format.extent | 104 - 107 | - |
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 | Cost-benefit Analysis | en_US |
dc.subject | Smart Grid | en_US |
dc.subject | Decision Support | en_US |
dc.title | Methodology for cost benefit analysis of smart grid used in decision support | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/ICMLC.2013.6890452 | - |
dc.relation.isPartOf | Proceedings - International Conference on Machine Learning and Cybernetics | - |
pubs.publication-status | Published | - |
pubs.volume | 1 | - |
dc.identifier.eissn | 2160-1348 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 620.54 kB | Adobe PDF | View/Open |
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