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Matthias Kahl
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Whited-a worldwide household and industry transient energy data set
M Kahl, AU Haq, T Kriechbaumer, HA Jacobsen
3rd international workshop on non-intrusive load monitoring, 1-4, 2016
1862016
A comprehensive feature study for appliance recognition on high frequency energy data
M Kahl, A Ul Haq, T Kriechbaumer, HA Jacobsen
Proceedings of the Eighth International Conference on Future Energy Systems …, 2017
582017
Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment
M Kahl, V Krause, R Hackenberg, A Ul Haq, A Horn, HA Jacobsen, ...
tm-Technisches Messen 86 (1), 1-13, 2019
242019
Medal: A cost-effective high-frequency energy data acquisition system for electrical appliances
T Kriechbaumer, A Ul Haq, M Kahl, HA Jacobsen
Proceedings of the eighth international conference on future energy systems …, 2017
242017
Earth observation and artificial intelligence: Understanding emerging ethical issues and opportunities
M Kochupillai, M Kahl, M Schmitt, H Taubenböck, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 10 (4), 90-124, 2022
222022
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
162019
Appliance Classification Across Multiple High Frequency Energy Datasets
M Kahl, T Kriechbaumer, AU Haq, HA Jacobsen
Proceedings of the 2017 ACM Eighth International Conference on Future Energy …, 2017
162017
CLEAR—A circuit level electric appliance radar for the electric cabinet
AU Haq, T Kriechbaumer, M Kahl, HA Jacobsen
2017 IEEE International Conference on Industrial Technology (ICIT), 1130-1135, 2017
152017
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
132019
Generative modeling of spatio-temporal weather patterns with extreme event conditioning
K Klemmer, S Saha, M Kahl, T Xu, XX Zhu
arXiv preprint arXiv:2104.12469, 2021
102021
So2Sat POP-A curated benchmark data set for population estimation from space on a continental scale
S Doda, Y Wang, M Kahl, EJ Hoffmann, K Ouan, H Taubenböck, XX Zhu
Scientific data 9 (1), 715, 2022
72022
Machine learning for non-intrusive load monitoring
M Kahl
Technische Universität München, 2019
42019
Nofare: A non-intrusive facility resource monitoring system
M Kahl, C Goebel, AU Haq, T Kriechbaumer, HA Jacobsen
Energy Informatics: 4th DA-CH Conference, EI 2015, Karlsruhe, Germany …, 2015
42015
Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning
M Kahl, D Jorde, HA Jacobsen
arXiv preprint arXiv:2209.03759, 2022
32022
Automatic Recognition of Tonal Instruments in Polyphonic Music from different Cultural Backgrounds
M Kahl, J Abeßer, C Dittmar, H Großmann
Deutsche Jahrestagung für Akustik 36, 565-566, 2010
12010
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data
S Doda, M Kahl, K Ouan, I Obadic, Y Wang, H Taubenböck, XX Zhu
International Journal of Applied Earth Observation and Geoinformation 128 …, 2024
2024
Artificial Intelligence for Earth Observations: Understanding emerging ethical issues and opportunities
M Kochupillai, M Kahl, M Schmitt, H Taubenböck, XX Zhu
IEEE Geoscience and Remote Sensing Magazine (GRSM) 10 (4), 90-124, 2022
2022
Erkennung von Instrumenten aus Musikaufnahmen mit Verfahren des Maschinellen Lernens
M Kahl, M Golz
Nachwuchswissenschaftlerkonferenz 12, 2011
2011
Earth Observation and Artificial Intelligence
M KOCHUPILLAI, M KAHL, M SCHMITT, H TAUBENBÖCK, XX ZHU
Towards a Cost-Effective High-Frequency Energy Data Acquisition System for Electric Appliances
T Kriechbaumer, AU Haq, M Kahl, HA Jacobsen
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