Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach

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dc.contributor.authorDurbach, I
dc.contributor.authorDavis, S
dc.date.accessioned2016-02-24T14:55:40Z
dc.date.available2016-02-24T14:55:40Z
dc.date.issued2012
dc.date.updated2016-02-24T11:37:50Z
dc.description.abstractThis paper describes an application providing decision support for generating a shortlist of promising electricity-saving options for households in South Africa. The decision problem is characterised by constraints on time and other resources, and by substantial uncertainty around the preferences for energy-related attributes and the performance of alternatives on those attributes. We use a stochastic multi-criteria acceptability analysis model to incorporate preferential uncertainties, and adapt this for use with quantiles and other "simplified" formats for representing uncertain attribute evaluations.
dc.identifierhttp://dx.doi.org/10.5784/28-2-113
dc.identifier.apacitationDurbach, I., & Davis, S. (2012). Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach. <i>ORiON</i>, http://hdl.handle.net/11427/17250en_ZA
dc.identifier.chicagocitationDurbach, I, and S Davis "Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach." <i>ORiON</i> (2012) http://hdl.handle.net/11427/17250en_ZA
dc.identifier.citationDurbach, I., & Davis, S. (2012). Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach. ORiON, 28(2), 99-116.
dc.identifier.ris TY - AU - Durbach, I AU - Davis, S AB - This paper describes an application providing decision support for generating a shortlist of promising electricity-saving options for households in South Africa. The decision problem is characterised by constraints on time and other resources, and by substantial uncertainty around the preferences for energy-related attributes and the performance of alternatives on those attributes. We use a stochastic multi-criteria acceptability analysis model to incorporate preferential uncertainties, and adapt this for use with quantiles and other "simplified" formats for representing uncertain attribute evaluations. DA - 2012 DB - OpenUCT DP - University of Cape Town J1 - ORiON LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach TI - Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach UR - http://hdl.handle.net/11427/17250 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/17250
dc.identifier.vancouvercitationDurbach I, Davis S. Decision support for selecting a shortlist of electricity-saving options: a modified SMAA approach. ORiON. 2012; http://hdl.handle.net/11427/17250.en_ZA
dc.language.isoeng
dc.publisherStellenbosch University Library and Information Service
dc.publisher.departmentEnergy Research Centreen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.rightsThe copyright policy for ORiON (ISSN: 2224-0004) accessed on Sherpa-Romeo on 24-02-2016 allows author to deposit publisher's version/PDF on open access repositories under Creative Commons Attribution License and published source must be acknowledged.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceORiON
dc.source.urihttp://orion.journals.ac.za/pub/index
dc.subject.otherMultiple criteria decision analysis
dc.subject.otherdecision support systems
dc.subject.otheruncertainty modelling
dc.subject.otherenergy sector
dc.titleDecision support for selecting a shortlist of electricity-saving options: a modified SMAA approach
dc.typeJournal Article
uct.type.filetypeText
uct.type.filetypeImage
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