| BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring Z Yue, CR Witzig, D Jorde, HA Jacobsen Proceedings of the 5th International Workshop on Non-Intrusive Load …, 2020 | 92 | 2020 |
| Appliance Event Detection-A Multivariate, Supervised Classification Approach M Kahl, T Kriechbaumer, D Jorde, A Ul Haq, HA Jacobsen Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 17 | 2019 |
| Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets T Kriechbaumer, D Jorde, HA Jacobsen Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 14 | 2019 |
| MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring D Jorde, M Kahl, HA Jacobsen 2019 IEEE International Conference on Communications, Control, and Computing …, 2019 | 13 | 2019 |
| Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements D Jorde, T Kriechbaumer, HA Jacobsen 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 12 | 2018 |
| The DEBS 2020 grand challenge V Gulisano, D Jorde, R Mayer, H Najdataei, D Palyvos-Giannas Proceedings of the 14th ACM International Conference on Distributed and …, 2020 | 10 | 2020 |
| Event Detection for Energy Consumption Monitoring D Jorde, HA Jacobsen IEEE Transactions on Sustainable Computing, 1-1, 2020 | 9 | 2020 |
| CREAM, a component level coffeemaker electrical activity measurement dataset D Jorde, T Kriechbaumer, T Berger, S Zitzlsperger, HA Jacobsen Scientific Data 7 (1), 1-13, 2020 | 6 | 2020 |
| Learning from Power: Machine Learning on Electrical Signals DR Jorde Technische Universität München, 2021 | | 2021 |
Hans-Arno JacobsenProfessor of Computer Engineering and Computer ScienceПотвърден имейл адрес: eecg.toronto.edu
