Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Jorde, Daniel
139  Ergebnisse:
Personensuche X
?
1

Event Detection for Energy Consumption Monitoring:

Jorde, Daniel ; Jacobsen, Hans-Arno
IEEE Transactions on Sustainable Computing.  6 (2021)  4 - p. 703-709 , 2021
Link: https://doi.org/10.1109/..
 
?
2

The DEBS 2020 grand challenge:

, In: Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems,
Gulisano, Vincenzo ; Jorde, Daniel ; Mayer, Ruben.. - p. 183-186 , 2020
Link: https://dl.acm.org/doi/1..
 
?
3

BERT4NILM : A Bidirectional Transformer Model for Non-In..:

, In: Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring,
Yue, Zhenrui ; Witzig, Camilo Requena ; Jorde, Daniel. - p. 89-93 , 2020
Link: https://dl.acm.org/doi/1..
 
?
4

CREAM, a component level coffeemaker electrical activity me..:

Jorde, Daniel ; Kriechbaumer, Thomas ; Berger, Tim..
Scientific Data.  7 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
?
5

MEED: An Unsupervised Multi-Environment Event Detector for ..:

, In: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm),
Jorde, Daniel ; Kahl, Matthias ; Jacobsen, Hans-Arno - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
?
6

Appliance Event Detection - A Multivariate, Supervised Clas..:

, In: Proceedings of the Tenth ACM International Conference on Future Energy Systems,
Kahl, Matthias ; Kriechbaumer, Thomas ; Jorde, Daniel.. - p. 373-375 , 2019
Link: https://dl.acm.org/doi/1..
 
?
7

Waveform Signal Entropy and Compression Study of Whole-Buil..:

, In: Proceedings of the Tenth ACM International Conference on Future Energy Systems,
Kriechbaumer, Thomas ; Jorde, Daniel ; Jacobsen, Hans-Arno - p. 58-67 , 2019
Link: https://dl.acm.org/doi/1..
 
?
8

Learning from Power: Machine Learning on Electrical Signals:

Jorde, Daniel Rene , 2021
Link: http://nbn-resolving.de/..
 
?
9

Representation Learning for Appliance Recognition: A Compar..:

Kahl, Matthias ; Jorde, Daniel ; Jacobsen, Hans-Arno
http://arxiv.org/abs/2209.03759.  , 2022
Link: http://arxiv.org/abs/220..
 
?
10

CREAM, a component level coffeemaker electrical activity me..:

Jorde, Daniel ; Kriechbaumer, Thomas ; Berger, Tim..
https://mediatum.ub.tum.de/1597600.  , 2020
Link: https://mediatum.ub.tum...
 
?
11

CREAM, a component level coffeemaker electrical activity me..:

Jorde, Daniel ; Kriechbaumer, Thomas ; Berger, Tim..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747629/.  , 2020
Link: http://www.ncbi.nlm.nih...
 
?
12

Appliance Event Detection -- A Multivariate, Supervised Cla..:

Kahl, Matthias ; Kriechbaumer, Thomas ; Jorde, Daniel..
http://arxiv.org/abs/1904.11580.  , 2019
Link: http://arxiv.org/abs/190..
 
?
13

Learning from Power: Machine Learning on Electrical Signals..:

Jorde, Daniel Rene
https://mediatum.ub.tum.de/1576951.  , 2021
Link: https://mediatum.ub.tum...
 
?
14

CREAM, a component level coffeemaker electrical activity me..:

Daniel Jorde ; Thomas Kriechbaumer ; Tim Berger..
https://doi.org/10.1038/s41597-020-00767-w.  , 2020
Link: https://doi.org/10.1038/..
 
?
15

Leinadj/MEED-An-Unsupervised-Multi-Environment-Event-Detect..:

Daniel Jorde
https://github.com/Leinadj/MEED-An-Unsupervised-Multi-Environment-EventDetector-for-Non-Intrusive-Load-Monitoring/tree/v1.1.  , 2019
Link: https://zenodo.org/recor..
 
1-15