Quotation Aryan, Peb Ruswono, Ekaputra, Fajar J., Sabou, Reka Marta, Hauer, Daniel, Mosshammer, Ralf, Einfalt, Alfred, Miksa, Tomasz, Rauber, Andreas. 2020. Simulation Support for Explainable Cyber-Physical Energy Systems. In 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Hrsg. Peter Palensky, Anurag Srivastava, 1-6. Virtual Event: None.




Smart energy grids are evolving from static infrastructures to dynamic systems where Distributed Energy Resources (PV, eCars) are joining or leaving the system randomly. Cyber-Physical (Energy) Systems (CP(E)S) are therefore increasingly complex and dynamic, with several stakeholders (end users, system operators) requiring explanations of the system status/behaviour. The development of solutions for explainable CP(E)S algorithms is however challenging because the deployment and testing in vivo of these solutions is restricted, if not impossible, in terms of the risks of modifying a critical infrastructure. In this paper, we present a semantics based solution to explainable CP(E)S and show how its development is supported by being able to test it in in vitro settings enabled by the BIFROST simulation engine. We validate the proposed solution in a simulated e-mobility use case.


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Publication's profile

Status of publication Published
Affiliation External
Type of publication Contribution to conference proceedings
Language English
Title Simulation Support for Explainable Cyber-Physical Energy Systems
Title of whole publication 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems
Editor Peter Palensky, Anurag Srivastava
Page from 1
Page to 6
Location Virtual Event
Year 2020
URL https://doi.org/10.1109/MSCPES49613.2020.9133700
Open Access N


Sabou, Reka Marta (Details)
Aryan, Peb Ruswono (TU Wien, Austria)
Einfalt, Alfred (Siemens Austria AG, Austria)
Ekaputra, Fajar J. (TU Wien, Austria)
Hauer, Daniel (Siemens Austria AG, Austria)
Miksa, Tomasz (TU Wien, Austria)
Mosshammer, Ralf (Siemens Austria AG, Austria)
Rauber, Andreas (TU Wien, Austria)
Research areas (Ă–STAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1127 Information science (Details)
1138 Information systems (Details)
1140 Software engineering (Details)
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