Christoph Klemenjak
Christoph Klemenjak
Research Assistant @ University of Klagenfurt
Email verificata su aau.at - Home page
Titolo
Citata da
Citata da
Anno
Yomo: the arduino-based smart metering board
C Klemenjak, D Egarter, W Elmenreich
Computer Science-Research and Development 31 (1-2), 97-103, 2016
392016
Non-intrusive load monitoring: A review and outlook
C Klemenjak, P Goldsborough
arXiv preprint arXiv:1610.01191, 2016
312016
Towards comparability in non-intrusive load monitoring: on data and performance evaluation
C Klemenjak, S Makonin, W Elmenreich
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
222020
Electricity consumption data sets: Pitfalls and opportunities
C Klemenjak, A Reinhardt, L Pereira, S Makonin, M Bergés, ...
Proceedings of the 6th ACM International Conference on Systems for Energy …, 2019
182019
A synthetic energy dataset for non-intrusive load monitoring in households
C Klemenjak, C Kovatsch, M Herold, W Elmenreich
Scientific Data 7 (1), 1-17, 2020
92020
How does load disaggregation performance depend on data characteristics? insights from a benchmarking study
A Reinhardt, C Klemenjak
Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020
82020
YoMoPie: A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households
C Klemenjak, S Jost, W Elmenreich
2018 IEEE Conference on Technologies for Sustainability (SusTech), 7, 0
8*
Adaptive weighted recurrence graphs for appliance recognition in non-intrusive load monitoring
A Faustine, L Pereira, C Klemenjak
IEEE Transactions on Smart Grid 12 (1), 398-406, 2020
42020
On the Applicability of Correlation Filters for Appliance Detection in Smart Meter Readings
C Klemenjak, W Elmenreich
2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2018
42018
YaY-An open-hardware energy measurement system for feedback and appliance detection based on the Arduino platform
C Klemenjak, W Elmenreich
2017 13th Workshop on Intelligent Solutions in Embedded Systems (WISES), 1-8, 2017
32017
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring
R Jones, C Klemenjak, S Makonin, IV Bajic
arXiv preprint arXiv:2009.07756, 2020
12020
Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring
H Bousbiat, C Klemenjak, G Leitner, W Elmenreich
arXiv preprint arXiv:2002.05593, 2020
12020
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
C Klemenjak, A Faustine, S Makonin, W Elmenreich
arXiv preprint arXiv:1912.06200, 2019
12019
Smart grid modeling and simulation—Comparing GridLAB-D and RAPSim via two Case studies
M Jdeed, E Sharma, C Klemenjak, W Elmenreich
2018 IEEE International Energy Conference (ENERGYCON), 1-6, 2018
12018
Exploring Time Series Imaging for Load Disaggregation
H Bousbiat, C Klemenjak, W Elmenreich
Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020
2020
On the Relationship between Seasons of the Year and Disaggregation Performance
J Gois, C Klemenjak, L Pereira
Proceedings of the 5th International Workshop on Non-Intrusive Load …, 2020
2020
Stop: Exploring Bayesian Surprise to Better Train NILM
R Jones, C Klemenjak, S Makonin, IV Bajić
Proceedings of the 5th International Workshop on Non-Intrusive Load …, 2020
2020
Device-Free User Activity Detection using Non-Intrusive Load Monitoring: A Case Study
A Reinhardt, C Klemenjak
Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing, 1-5, 2020
2020
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring
C Klemenjak, S Makonin, W Elmenreich
arXiv preprint arXiv:2008.10985, 2020
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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