Interests
- Smart Grid & Renewable Energies
- Energy Management
- Sustainability
- Project Management & Scrum
- Smart Home & Buildings
- Building Information Modeling (BIM) & Architecture
Research
- 2018 PhD Thesis Timo Bernard: Non-Intrusive Load
Monitoring (NILM): Combining multiple distinct Electrical Features and
Unsupervised Machine Learning Techniques
- 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)
- 2017 NILM.eu
Workshop. Venue: London, UK. Paper: High frequency NILM in
commercial and industrial settings, Gunnar Hoffmann, Timo Bernard,
Martin Verbunt (Fraunhofer IMS).
- 2016 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).
- 2015
Energie&Technik Smart Home & Metering Summit. Venue:
conference room München. Presented paper: NILM (NONINTRUSIVE LOAD
MONITORING) – Gerätespezifische Stromverbrauchsanalyse für Smart Meter
Lösungen, Timo Bernard, Burkhard Heidemann (Fraunhofer IMS).
- 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).
Profiles
Developed Websites
