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A Guide for the Design of Benchmark Environments for Building Energy Optimization

Wölfle, D.; Vishwanath, A.; Schmeck, Hartmut

The need for algorithms that optimize building energy consumption is usually motivated with the high energy consumption of buildings on a global scale. However, the current practice for evaluating the performance of such algorithms does not reflect this goal, as in most cases the performance is reported for one specific simulated building only, which provides no indication about the generalization of the score on other buildings. One approach to overcome this severe issue is to establish a shared collection of environments, each representing one simulated building setup, that would enable researchers to systematically compare and contrast the efficacy of their building optimization algorithms at scale. However, this requires that the individual environments are well designed for this goal. This paper is thus targeting the design of suitable environments for such a collection based on a detailed analysis of related publications that allows the identification of relevant characteristics for suitable environments. Based on this analysis a guide is developed that distills these characteristics into questions, intended to support a discussion of relevant topics during the design of such environments. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000127839
Veröffentlicht am 18.12.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-1-4503-8061-4
KITopen-ID: 1000127839
Erschienen in BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, November 18-20, 2020, virtual event, Japan
Veranstaltung 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2020), Online, 18.11.2020 – 20.11.2020
Verlag Association for Computing Machinery (ACM)
Seiten 220-229
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
Schlagwörter building energy management, building control, environment, benchmark, evaluation, reinforcement learning, smart building
Nachgewiesen in Scopus
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