Thomas Kriechbaumer

According to our database, Thomas Kriechbaumer authored at least 12 papers between 2015 and 2019.

Collaborative distances:

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

2019

Methodologies for Distributed Acquisition and Collection of Electrical Energy Data.

Thomas Kriechbaumer

PhD thesis, 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

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

Thomas Kriechbaumer, Hans-Arno Jacobsen

CoRR, 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

2017

Appliance classification across multiple high frequency energy datasets.

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

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

CLEAR - A circuit level electric appliance radar for the electric cabinet.

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

Proceedings of the IEEE International Conference on Industrial Technology, 2017

MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances.

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

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data.

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

Proceedings of the Eighth International Conference on Future Energy Systems, 2017

2015

Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications.

Thomas Kriechbaumer, Kim Blackburn, Toby P. Breckon, Oliver K. Hamilton, Mónica Rivas Casado

Sensors, 2015

Automated Identification of River Hydromorphological Features Using UAV High Resolution Aerial Imagery.

Mónica Rivas Casado, Rocio Ballesteros Gonzalez, Thomas Kriechbaumer, Amanda Veal

Sensors, 2015

NoFaRe: A Non-Intrusive Facility Resource Monitoring System.

Matthias Kahl, Christoph Goebel, Anwar Ul Haq, Thomas Kriechbaumer, Hans-Arno Jacobsen

Proceedings of the Energy Informatics, 2015