NoFaRe: A Non-Intrusive Facility Resource Monitoring System. - Matthias Kahl; Christoph Goebel; Anwar Ul Haq; Thomas Kriechbaumer; Hans-Arno Jacobsen (D-A-CH EI, 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)

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)

A Comprehensive Feature Study for Appliance Recognition on High Frequency Energy Data. - Matthias Kahl; Anwar Ul Haq; Thomas Kriechbaumer; Hans-Arno Jacobsen (e-Energy, 2017)

MEDAL: A Cost-Effective High-Frequency Energy Data Acquisition System for Electrical Appliances. - Thomas Kriechbaumer; Anwar Ul Haq; Matthias Kahl; Hans-Arno Jacobsen (e-Energy, 2017)

CLEAR - A circuit level electric appliance radar for the electric cabinet. - Anwar Ul Haq; Thomas Kriechbaumer; Matthias Kahl; Hans-Arno Jacobsen (ICIT, 2017)

Appliance classification across multiple high frequency energy datasets. - Matthias Kahl; Thomas Kriechbaumer; Anwar Ul Haq; Hans-Arno Jacobsen (SmartGridComm, 2017)

Electrical Appliance Classification using Deep Convolutional Neural Networks on High Frequency Current Measurements. - Daniel Jorde; Thomas Kriechbaumer; Hans-Arno Jacobsen (SmartGridComm, 2018)

Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. - Thomas Kriechbaumer; Hans-Arno Jacobsen (CoRR, 2018)

Appliance Event Detection - A Multivariate, Supervised Classification Approach. - Matthias Kahl; Thomas Kriechbaumer; Daniel Jorde; Anwar Ul Haq; Hans-Arno Jacobsen (e-Energy, 2019)

Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets. - Thomas Kriechbaumer; Daniel Jorde; Hans-Arno Jacobsen (e-Energy, 2019)

Methodologies for Distributed Acquisition and Collection of Electrical Energy Data. - Thomas Kriechbaumer (2019)