Detecting Consumer Devices by Applying Pattern Recognition to Smart Meter Signals. - Achim Guldner; Sebastian Arns; Tobias Schunk; Klaus-Uwe Gollmer; Rainer Michels; Stefan Naumann (EnviroInfo, 2013)

Resource efficiency in Buildings through automation and user integration. - Isidore Willy Kohoun Tsafack; Stefan Naumann; Klaus-Uwe Gollmer; Iris Ebner; Andrea Christian; Monika Eigenstetter; Verena Jähn; Sebastian Arns; Bodo Groß; Patrick Koch; Achim Guldner (EnviroInfo, 2013)

Development of a Real-time Smart Meter for Non-Intrusive Load Monitoring and Appliance Disaggregation. - Roman Jonetzko; Matthias Detzler; Klaus-Uwe Gollmer; Achim Guldner; Marcel Huber; Rainer Michels; Stefan Naumann; Martin Ney (EnviroInfo/ICT4S (2), 2015)

High Frequency Non-intrusive Electric Device Detection and Diagnosis. - Roman Jonetzko; Matthias Detzler; Klaus-Uwe Gollmer; Achim Guldner; Marcel Huber; Rainer Michels; Stefan Naumann (SMARTGREENS, 2015)

Energieeinsparungen im Gebäudebetrieb durch visualisiertes Feedback an Nutzer: Datenerfassung und Datenvisualisierung in Nicht-Wohngebäuden. - Stefan Naumann; Andrea Christian; Christoph Göttert; Klaus-Uwe Gollmer; Rainer Michels; Stefan Rüffler (GI-Jahrestagung, 2016)

Machine Learning Based Indoor Localization Using a Representative k-Nearest-Neighbor Classifier on a Low-Cost IoT-Hardware. - Matthias Dziubany; Rüdiger Machhamer; Hendrik Laux; Anke Schmeink; Klaus-Uwe Gollmer; Guido Burger; Guido Dartmann (EUSIPCO, 2018)

Prognose von Wärmeverbräuchen. - Matthias Dziubany; Jens Schneider 003; Anke Schmeink; Guido Dartmann; Klaus-Uwe Gollmer; Stefan Naumann (GI-Jahrestagung (Workshops), 2018)

Node and Block-Based Development Tools for Distributed Systems With AI Applications. - Marcel Hauck; Rüdiger Machhamer; Levin Czenkusch; Klaus-Uwe Gollmer; Guido Dartmann (IEEE Access, 2019)

Online Offline Learning for Sound-Based Indoor Localization Using Low-Cost Hardware. - Rüdiger Machhamer; Matthias Dziubany; Levin Czenkusch; Hendrik Laux; Anke Schmeink; Klaus-Uwe Gollmer; Stefan Naumann; Guido Dartmann (IEEE Access, 2019)

Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection. - Rüdiger Machhamer; Jannik Altenhofer; Kristof Ueding; Levin Czenkusch; Florian Stolz; Maximilian Harth; Michael Mattern; Azhar Latif; Swen Haab; Jürgen Herrmann; Anke Schmeink; Klaus-Uwe Gollmer; et al. (MECO, 2020)

Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks. - Rüdiger Machhamer; Marcel Garling; Levin Czenkusch; Kristof Ueding; Achim Guldner; Jens Schneider 003; Azhar Latif; Anke Schmeink; Stefan Naumann; Klaus-Uwe Gollmer; Guido Dartmann (MECO, 2020)

A Machine Learning Approach for Optimal Ventilation based on Data from CO2 Sensors. - Bastian Urschel; Lejla Begic Fazlic; Marlies Morgen; Rüdiger Machhamer; Guido Dartmann; Klaus-Uwe Gollmer (SDF, 2022)

Likelihood-based Sensor Calibration for Expert-Supported Distributed Learning Algorithms in IoT Systems. - Rüdiger Machhamer; Lejla Begic Fazlic; Eray Guven; David Junk; Gunes Karabulut-Kurt; Stefan Naumann; Stephan Didas; Klaus-Uwe Gollmer; Ralph Bergmann; Ingo J. Timm; Guido Dartmann (CoRR, 2023)