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

  • 2021:
  • 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 efficiency and optimisation of heat pumps
  • Energy informatics and energy efficiency

Publications

Weigert, Andreas, Konstantin Hopf, Sebastian A. Günther, and Thorsten Staake. 2022. “Heat Pump Inspections Result in Large Energy Savings When a Pre-Selection of Households Is Performed: A Promising Use Case of Smart Meter Data.” Energy Policy 169 (October): 1–15. https://doi.org/10.1016/j.enpol.2022.113156.

Brudermüller, Tobias, Florian Wirth, Andreas Weigert, and Thorsten Staake. 2022. “Automatic Differentiation of Variable and Fixed Speed Heat Pumps With Smart Meter Data.” In 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 412–18. IEEE. https://doi.org/10.1109/SmartGridComm52983.2022.9961055.

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.

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, 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.

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

Software-Bibliotheken

Hopf, K., Weigert, A., Kozlovskiy, I., Staake, T. (2020). SmartMeterAnalytics: Methods for Smart Meter Data Analysis, Library for the statistical software GNU R, https://cran.r-project.org/package=SmartMeterAnalytics

Hopf, K., Weigert, A., Weinig, N., Staake, T., (2020). ResidentialEnergyConsumption: Residential Energy Consumption Data, Library for the statistical software GNU R, https://cran.r-project.org/package=ResidentialEnergyConsumption

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