| Yomo: the arduino-based smart metering board C Klemenjak, D Egarter, W Elmenreich Computer Science-Research and Development 31 (1-2), 97-103, 2016 | 39 | 2016 |
| Non-intrusive load monitoring: A review and outlook C Klemenjak, P Goldsborough arXiv preprint arXiv:1610.01191, 2016 | 31 | 2016 |
| 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 | 22 | 2020 |
| 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 | 18 | 2019 |
| 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 | 9 | 2020 |
| 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 | 8 | 2020 |
| 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 | 4 | 2020 |
| 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 | 4 | 2018 |
| 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 | 3 | 2017 |
| 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 | 1 | 2020 |
| Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring H Bousbiat, C Klemenjak, G Leitner, W Elmenreich arXiv preprint arXiv:2002.05593, 2020 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 2018 |
| 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 |
Wilfried ElmenreichProfessor of Smart Grids, University of KlagenfurtEmail verificata su aau.at
