Surrogate modeling for the fast optimization of energy systems

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.

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Year of publication:	2013
Authors:	Bornatico, Raffaele ; Hüssy, Jonathan ; Witzig, Andreas ; Guzzella, Lino
Published in:	Energy. - Elsevier, ISSN 0360-5442. - Vol. 57.2013, C, p. 653-662
Publisher:	Elsevier
Subject:	Surrogate modeling \| Fast simulation \| Multiobjective optimization \| Solar energy \| Smart building

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011054287