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Information Systems and Applied Computer Sciences

Information Systems and Energy Efficient Systems

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  2. Faculties
  3. Information Systems and Applied Computer Sciences
  4. Subject groups
  5. Information Systems
  6. Information Systems and Energy Efficient Systems
  7. Team
  8. Andreas Weigert, M.Sc

Andreas Weigert

Room: WE5/02.061

Telephone: +49 951 863 2272

Email: andreas.weigert(at)uni-bamberg.de

Consultation hours by appointment

Awards

  • Best Paper Nominee Award (DACH+ Energy Informatics 2020)

Career

  • 2018 - today: PhD student at the Information Systems and Energy Efficient Systems, University of Bamberg
  • 2017 - today: Analyst at the Bits-to-Energy Lab
  • 2016 - 2018: Information Systems (M. Sc.), University of Bamberg
  • 2013: Foreign semester at St. Cloud State University in Minnesota, USA
  • 2012 - 2016: Information Systems (B. Sc.), Technische Hochschule Ingolstadt
    • Internship semester at MAN Diesel & Turbo SE in Augsburg (now MAN Energy Solutions SE)
    • Bachelor thesis in cooperation with Gigatronik Ingolstadt GmbH (now Akka)
  • 2008 - 2011: Apprenticeship to an computer science expert (subject area: system integration) at response informationdesign GmbH & Co. KG

Research Interests

  • Data analytics and machine learning
  • Energy informatics and energy efficiency

Publications

Weigert, Andreas, Konstantin Hopf, Nicolai Weinig, and Thorsten Staake. 2020. “Detection of Heat Pumps from Smart Meter and Open Data.” In Energy Informatics, 3:14. Springer Science and Business Media {LLC}. https://doi.org/10.1186/s42162-020-00124-6.

Hopf, Konstantin, Andreas Weigert, and Thorsten Staake. 2022. “Value Creation from Analytics with Limited Data: A Case Study on the Retailing of Durable Consumer Goods.” Journal of Decision Systems, no. Published online: 07 Apr 2022: 1–37. https://doi.org/10.1080/12460125.2022.2059172.

Weigert, Andreas, Konstantin Hopf, Thorsten Staake, André Rast, and Jan Marckhoff. 2020. “SmartLoad: Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector.” Bern: Bundesamt für Energie, Sektion Energieforschung und Cleantech.

Weigert, Andreas, Konstantin Hopf, and Thorsten Staake. 2019. “A Cognitive Computing Solution to Foster Retailing of Renewable Energy Systems.” In . https://doi.org/10.20378/IRB-47040.

Research Projects

  • Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector (SmartLoad), European Research Area Network (ERA-Net) - Smart Grids Plus, Duration: May 2017 - March 2020

Talks

  • Detection of heat pumps from smart meter and open data, Inspirational talk at the Innovation Days workshop of the Danish energy provider Andel, 15.03.2021
  • Detection of heat pumps from smart meter and open data, 9th DACH+ Energy Informatics Conference 2020, Online, 29-30.10.2020
  • Design of cognitive computing systems to support the sales process for durable goods on the example of renewable energy systems, ECIS Workshop on Energy Informatics, Online, 15.06.2020
  • A Cognitive Computing Solution to Foster Retailing of Renewable Energy Systems, SIGGreen Pre-Workshop of the International Conference on Information Systems (ICIS), Munich, 15.12.2019
  • Data analytics with R - Management workshop for utility company representatives, University of Bamberg, April 2018