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ORCIDThomas Kriechbaumer
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2010 – 2019
- 2019
[b1]Thomas Kriechbaumer:
Methodologies for Distributed Acquisition and Collection of Electrical Energy Data. Technical University of Munich, Germany, 2019- [c8]Thomas Kriechbaumer, Daniel Jorde, Hans-Arno Jacobsen:
Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. e-Energy 2019: 58-67 - [c7]Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. e-Energy 2019: 373-375 - [i2]Matthias Kahl, Thomas Kriechbaumer, Daniel Jorde, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance Event Detection - A Multivariate, Supervised Classification Approach. CoRR abs/1904.11580 (2019) - 2018
- [c6]Daniel Jorde, Thomas Kriechbaumer, Hans-Arno Jacobsen:
Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements. SmartGridComm 2018: 1-6 - [i1]Thomas Kriechbaumer, Hans-Arno Jacobsen:
Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. CoRR abs/1810.10887 (2018) - 2017
- [c5]Matthias Kahl, Anwar Ul Haq, Thomas Kriechbaumer, Hans-Arno Jacobsen:
A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data. e-Energy 2017: 121-131 - [c4]Thomas Kriechbaumer, Anwar Ul Haq, Matthias Kahl, Hans-Arno Jacobsen:
MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances. e-Energy 2017: 216-221 - [c3]Anwar Ul Haq, Thomas Kriechbaumer, Matthias Kahl, Hans-Arno Jacobsen:
CLEAR - A circuit level electric appliance radar for the electric cabinet. ICIT 2017: 1130-1135 - [c2]Matthias Kahl, Thomas Kriechbaumer, Anwar Ul Haq, Hans-Arno Jacobsen:
Appliance classification across multiple high frequency energy datasets. SmartGridComm 2017: 147-152 - 2015
- [j2]Mónica Rivas Casado
, Rocio Ballesteros Gonzalez, Thomas Kriechbaumer, Amanda Veal:
Automated Identification of River Hydromorphological Features Using UAV High Resolution Aerial Imagery. Sensors 15(11): 27969-27989 (2015) - [j1]Thomas Kriechbaumer, Kim Blackburn, Toby P. Breckon, Oliver K. Hamilton, Mónica Rivas Casado:
Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. Sensors 15(12): 31869-31887 (2015) - [c1]Matthias Kahl, Christoph Goebel, Anwar Ul Haq, Thomas Kriechbaumer, Hans-Arno Jacobsen:
NoFaRe: A Non-Intrusive Facility Resource Monitoring System. D-A-CH EI 2015: 59-68
Coauthor Index
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