Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11464
Title: Affine arithmetic-based methodology for energy hub operation-scheduling in the presence of data uncertainty
Authors: Vaccaro, A
Pisani, C
Zobaa, AF
Keywords: Power system interconnection;Affine transforms;Power generation scheduling
Issue Date: 2015
Publisher: IET
Citation: IET Generation, Transmission and Distribution, 9(13): 1544 - 1552, (2015)
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.
URI: http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0197
http://bura.brunel.ac.uk/handle/2438/11464
DOI: http://dx.doi.org/10.1049/iet-gtd.2015.0197
ISSN: 1751-8687
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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