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

Ian Durbach | Zendy; Stephen Davis | Zendy

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

Author(s) -

Ian Durbach,

Stephen Davis

Publication year - 2012

Publication title -

orion/orion

Language(s) - English

Resource type - Journals

eISSN - 2224-0004

pISSN - 0259-191X

DOI - 10.5784/28-2-113

Subject(s) - electricity , computer science , quantile , operations research , decision support system , energy (signal processing) , mathematical optimization , environmental economics , risk analysis (engineering) , data mining , econometrics , business , economics , mathematics , statistics , engineering , electrical engineering

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

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