Title
An evaluation framework for energy aware buildings using statistical model checking
Abstract
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.
Year
DOI
Venue
2012
10.1007/s11432-012-4742-0
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
smart grid,cyber physical systems,energy aware buildings,energy consumption,model checking,timed automata,performance evaluation,stochastic hybrid systems,statistical model checking
Mathematical optimization,Model checking,Smart grid,Computer science,Automaton,Theoretical computer science,Cyber-physical system,Formalism (philosophy),Rotation formalisms in three dimensions,Energy consumption,Distributed computing,Scalability
Journal
Volume
Issue
ISSN
55
12
1869-1919
Citations 
PageRank 
References 
21
1.10
11
Authors
5
Name
Order
Citations
PageRank
Alexandre David1166776.52
Dehui Du214716.40
Kim Guldstrand Larsen34434346.88
Marius Mikučionis479933.52
Arne Skou51279102.75