2019:
Cornelia Ferner et al. “Pool detection from smart metering data with convolutional neural networks”. In: Energy Informatics 2019 2.1 (2019), pp. 1–12. doi: 10.1186/s42162-019-0097-8.
Download: https://www.entrust.at/papers/Ferner19a.pdf.
2018:
Sebastian Burkhart et al. “Detecting Swimming Pools in 15-Minute Load Data”.
In: IEEE International Conference on Trust, Security and Privacy in Computing and Communications 2018. New York, New York, USA: IEEE, Aug. 2018, pp. 1641–1655. doi: 10.1109/TrustCom/BigDataSE.2018.
00244. Download: https://www.en-trust.at/papers/Burkhart18a.pdf.
Günther Eibl, Sebastian Burkhart, and Dominik Engel. “Insights into Unsupervised Holiday Detection from Low-Resolution Smart Metering Data”.
In: Information Systems Security and Privacy (2018), pp. 281–302.
Download: https://www.en-trust.at/papers/Eibl18c.pdf.
Günther Eibl, Sebastian Burkhart, and Dominik Engel. “Unsupervised Holiday Detection from Low-Resolution Smart Metering Data”.
In: Proceedings of the 4th International Conference on Information Systems Security and Privacy, ICISSP 2018. SciTePress, 2018, pp. 477–486. doi: 10.5220/0006719704770486.
Download: https://www.en- trust.at/ papers/Eibl18a.pdf.
2017:
Kristof Böhmer et al. “Application and Testing of Business Processes in the Energy Domain”.
In: Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW). 2017, pp. 25–32.
Download: https://www.entrust.at/papers/Boehmer17a.pdf.
Günther Eibl et al. “Exploration of the Potential of Process Mining for Intrusion Detection in Smart Metering”.
In: 3rd International Conference on Information Systems Security and Privacy. to appear. 2017.
Download: https://www.en-trust.at/papers/Eibl17a.pdf.