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An evaluation framework for energy aware buildings using statistical model checking

  • Alexandre David
  • , De Hui Du
  • , Kim G. Larsen
  • , Marius Mikučionis
  • , Arne Skou
  • Aalborg University

科研成果: 期刊稿件文章同行评审

摘要

Cyber-physical systems are to be found in numerous applications throughout society. The principal barrier to develop trustworthy cyber-physical systems is the lack of expressive modelling and specification formalisms supported by efficient tools and methodologies. To overcome this barrier, we extend in this paper the modelling formalism of the tool UPPAAL-SMC to stochastic hybrid automata, thus providing the expressive power required for modelling complex cyber-physical systems. The application of Statistical Model Checking provides a highly scalable technique for analyzing performance properties of this formalisms. A particular kind of cyber-physical systems are Smart Grids which together with Intelligent, Energy Aware Buildings will play a major role in achieving an energy efficient society of the future. In this paper we present a framework in UPPAAL-SMC for energy aware buildings allowing to evaluate the performance of proposed control strategies in terms of their induced comfort and energy profiles under varying environmental settings (e. g. weather, user behavior etc.). To demonstrate the intended use and usefulness of our framework, we present an application to the Hybrid Systems Verification Benchmark.

源语言英语
页(从-至)2694-2707
页数14
期刊Science China Information Sciences
55
12
DOI
出版状态已出版 - 12月 2012

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  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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