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Daniel Jorde
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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
192020
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
132019
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
82019
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
72018
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
62020
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
62019
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
22020
Event Detection for Energy Consumption Monitoring
D Jorde, HA Jacobsen
IEEE Transactions on Sustainable Computing, 1-1, 2020
12020
Learning from Power: Machine Learning on Electrical Signals
DR Jorde
Technische Universität München, 2021
2021
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Articles 1–9