Person
Thomas Bruno Schreiber
M. Sc.Address
Building: Modulbau Melaten Nord - 4122
Room: 02.33
Mathieustraße 30
52074 Aachen
Contact
- workPhone
- Phone: +49 241 80 49804
Information
Fields of activity
Thomas Schreiber is a member of the team building automation. His major research fields are cloud-based monitoring systems and methods for observation and optimization of building and district energy systems. In particular, he develops monitoring concepts and data analysis strategies for an adaptive cooling network. The aim is to provide a database as well as analysis and visualization routines for various user groups. A particular focus is the use of the data to create a framework for the development and improvement of complex control strategies.
CV
Thomas Schreiber started working at the Institute for Energy Efficient Buildings and Indoor Climate in August 2018. After completing his dual vocational training as a construction mechanic, he began his studies in mechanical engineering at RWTH Aachen University in October 2010, where he completed his master's degree in energy engineering in April 2018. In addition to smaller projects at the Institute of Jet Propulsion and Turbomachinery and at the Institute for Energy Efficient Buildings and Indoor Climate, Thomas Schreiber worked at RheinEnergie AG.
Publications
| Title | Author(s) |
|---|---|
| Comparing unsupervised and supervised machine learning techniques to improve time-series classification in building and energy data Contribution to a conference proceedings (2018) | Bode, Gerrit Thorben Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |
| A time series clustering approach for Building Automation and Control Systems Journal Article (2019) | Bode, Gerrit Thorben Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |
| An automated feature selection for time-series classification in building automation and control systems Contribution to a conference proceedings (2019) | Schreiber, Thomas Bruno Bode, Gerrit Thorben Baranski, Marc Müller, Dirk |
| Generating Generic Data Sets for Machine Learning Applications in Building Services Using Standardized Time Series Data Contribution to a conference proceedings (2019) | Stinner, Florian Yang, Yingying Schreiber, Thomas Bruno Bode, Gerrit Thorben Baranski, Marc Müller, Dirk |
| Modeling of Petri-Net-based control algorithms for the simulation-based improvement of the planning process of building energy systems Contribution to a book, Contribution to a conference proceedings, Journal Article (2019) | Cai, Xiaoye Schild, Thomas Peter Schreiber, Thomas Bruno Baranski, Marc Müller, Dirk |
| From plans to programs: A holistic toolchain for building data applications Contribution to a conference proceedings, Journal Article (2019) | Bode, Gerrit Thorben Stinner, Florian Baranski, Marc Brümmendorf, Erik Cai, Xiaoye Kümpel, Alexander Schraven, Markus Hans Schreiber, Thomas Bruno Stoffel, Phillip Storek, Thomas Peter Bruno Müller, Dirk |
| Monitoring, Analyse der Energieeffizienz und nachhaltige Nutzung eines Geothermiefeldes zur Gebäudeklimatisierung Conference Presentation (2019) | Stoffel, Phillip Baranski, Marc Schreiber, Thomas Bruno Müller, Dirk |