Surrogate modeling for the fast optimization of energy systems

Raffaele Bornatico, Jonathan Hüssy, Andreas Witzig and Lino Guzzella

Energy, 2013, vol. 57, issue C, 653-662

Abstract: While software simulations in the building technology field are essential for designing efficient systems, for specific applications, the tools currently available are computationally too expensive. This paper presents a novel approach for the fast computation of accurate simulation results and demonstrates its efficacy for solving a multiobjective optimization problem.

Keywords: Surrogate modeling; Fast simulation; Multiobjective optimization; Solar energy; Smart building (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:57:y:2013:i:c:p:653-662

DOI: 10.1016/j.energy.2013.05.044

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