PhD Thesis Timo Bernard.
University of Duisburg-Essen. Dissertation Title: Non-Intrusive Load Monitoring (NILM): Combining multiple distinct Electrical Features and Unsupervised Machine Learning Techniques.
29th May – 1st June 2018
2018 International Conference on Smart Grid and Clean Energy Technologies. Venue: Kuala Lumpur, Malaysia – IEEE, Universiti Tunku Abdul Rahman. Paper: Non-Intrusive Load Monitoring (NILM): Unsupervised Machine Learning and Feature Fusion, Timo Bernard, Martin Verbunt, Thorsten Wellmann, Gerd vom Bögel (Fraunhofer IMS)
6th – 7th November 2017
NILM.eu 2017 Workshop. Venue: London, UK. Paper: High frequency NILM in commercial and industrial settings, Gunnar Hoffmann, Timo Bernard, Martin Verbunt (Fraunhofer IMS).
14th – 15th May 2016
NILM2016 – 3rd International Workshop on Non-Intrusive Load Monitoring. Venue: Vancouver, Kanada – Simon Fraser University. Paper & Poster presentation: Analyzing 100 Billion Measurements: A NILM Architecture for Production Environments, Nikolaus Starzacher, Philipp Weidmann (Discovergy GmbH).
14th – 15th May 2016
NILM2016 – 3rd International Workshop on Non-Intrusive Load Monitoring. Venue: Vancouver, Kanada – Simon Fraser University. Paper: Unsupervised Learning Algorithm using multiple Electrical Low and High Frequency Features for the task of Load Disaggregation, Timo Bernard, Michael Marx (Fraunhofer IMS).
28th – 29th October 2015
Energie&Technik Smart Home & Metering Summit 2015. Venue: conference room München. Presented paper: NILM (NONINTRUSIVE LOAD MONITORING) – Gerätespezifische Stromverbrauchsanalyse für Smart Meter Lösungen, Timo Bernard, Burkhard Heidemann (Fraunhofer IMS).
20th – 23th October 2015
International Conference on Smart Grid and Clean Energy Technologies (ICSGCE 2015) – Sponsor: IEEE & VDE. Venue: Hochschule Offenburg. Presented paper: Combining Several Distinct Electrical Features to Enhance Nonintrusive Load Monitoring, Timo Bernard, Julian Klaaßen, Daniel Wohland, Gerd vom Bögel (Fraunhofer IMS).
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