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http://bura.brunel.ac.uk/handle/2438/11464
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vaccaro, A | - |
dc.contributor.author | Pisani, C | - |
dc.contributor.author | Zobaa, AF | - |
dc.date.accessioned | 2015-10-12T09:22:12Z | - |
dc.date.available | 2015-01-01 | - |
dc.date.available | 2015-10-12T09:22:12Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | IET Generation, Transmission and Distribution, 9(13): 1544 - 1552, (2015) | en_US |
dc.identifier.issn | 1751-8687 | - |
dc.identifier.uri | http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0197 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/11464 | - |
dc.description.abstract | In this study, the role of self-validated computing for solving the energy hub-scheduling problem in the presence of multiple and heterogeneous sources of data uncertainties is explored and a new solution paradigm based on affine arithmetic is conceptualised. The benefits deriving from the application of this methodology are analysed in details, and several numerical results are presented and discussed. | en_US |
dc.format.extent | 1544 - 1552 | - |
dc.language.iso | en | en_US |
dc.publisher | IET | en_US |
dc.subject | Power system interconnection | en_US |
dc.subject | Affine transforms | en_US |
dc.subject | Power generation scheduling | en_US |
dc.title | Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1049/iet-gtd.2015.0197 | - |
dc.relation.isPartOf | IET Generation, Transmission and Distribution | - |
pubs.issue | 13 | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
pubs.volume | 9 | - |
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 | 568.76 kB | Adobe PDF | View/Open |
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