Daniel Jorde

According to our database, Daniel Jorde authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning.

Matthias Kahl, Daniel Jorde, Hans-Arno Jacobsen

CoRR, 2022

2021

Learning from Power: Machine Learning on Electrical Signals.

Daniel Jorde

PhD thesis, 2021

Event Detection for Energy Consumption Monitoring.

Daniel Jorde, Hans-Arno Jacobsen

IEEE Trans. Sustain. Comput., 2021

2020

BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring.

Zhenrui Yue, Camilo Requena Witzig, Daniel Jorde, Hans-Arno Jacobsen

Proceedings of the NILM '20, 2020

The DEBS 2020 grand challenge.

Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas

Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

2019

MEED: An Unsupervised Multi-Environment Event Detector for Non-Intrusive Load Monitoring.

Daniel Jorde, Matthias Kahl, Hans-Arno Jacobsen

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets.

Thomas Kriechbaumer, Daniel Jorde, Hans-Arno Jacobsen

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Appliance Event Detection - A Multivariate, Supervised Classification Approach.

Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements.

Daniel Jorde, Thomas Kriechbaumer, Hans-Arno Jacobsen

Proceedings of the 2018 IEEE International Conference on Communications, 2018