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Information Systems and Applied Computer Sciences

Information Systems and Energy Efficient Systems

  1.  University of bamberg
  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. Dr. Konstantin Hopf

Dr. Konstantin Hopf

Room: WE5/02.062

Phone: +49 951 863 2236

Email: konstantin.hopf(at)uni-bamberg.de

Consultation hours by appointment

Google Scholar | Researchgate | LinkedIn

Academic Career

www.bits-to-energy.ch)
  • 2014 - 2015: Information Systems (M. Sc.), University of Bamberg
  • 2012 - 2013: Foreign semester at University of Sk?vde, Sweden
  • 2010 - 2014: Information Systems (B. Sc.), University of Bamberg
    (The Bachelor's thesis received first place in the IT Cluster Oberfranken e.V. graduation award.)

    • Selected university activities

    • Development and responsibility of the master courses "Business Intelligence & Analytics" (EESYS-BIA-M, V/?, 6 ECTS, winter term), "Data-driven Decision Support" (EESYS-DDS-M, V/?, 6 ECTS, summer term), master seminar "Platforms of Human-AI Collaboration" (WS 2020/21, 3 ECTS)

    • Supervision of over 90 Bachelor's and Master's theses, as well as student project papers in the Information Systems programs at the University of Bamberg

    • Representative of the scientific staff of the Faculty WIAI in the Faculty Council and the Mittelbau-Konvent (2017-2019 and 2019-2021)

    • Lectureship for the course "Business Analytics: Technologies, Methods, and Concepts" at the University of Erlangen-Nuremberg and the course "Business Intelligence" for master programs Strategic Management and Consulting at CBS International Business School, Mainz (since summer term 2021)

    Research Focus

    • Individual applications of (explainable) machine learning for decision support, e.g. energy retailing, energy efficiency, higher education teaching

    • Organizational value creation through (explainable) machine learning applications

    • Data work in companies

    Awards and Honors

    Selected Research Projects

    Selected Research Contributions

    10.1186/s42162-020-00124-6

    Stingl, C., Hopf, K., Staake, T. (2018). Explaining and predicting annual electricity demand of enterprises – A case study from Switzerland, 7. DACH+ Conference on Energy Informatics, Oldenburg, Germany, October 11 – 12, In: Energy Informatics, 1:50, DOI: 10.1186/s42162-018-0028-0

    Hopf, K., Riechel, S., Sodenkamp, M., Staake, T. (2017). Predictive Customer Data Analytics – The Value of Public Statistical Data and the Geographic Model Transferability.38. International Conference on Information Systems (ICIS), Seoul: South Korea, December 10 – 13.

    Hopf, K., Kormann, M., Sodenkamp, M., Staake, T. (2017). A Decision Support System for Photovoltaic Potential Estimation. ACM International Conference on Internet of Things and Machine Learning 2017, Liverpool: UK, October 17 – 18, DOI: 10.1145/3109761.3109764.

    Sodenkamp, M., Kozlovskiy, I., Hopf, K., Staake, T. (2017). Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. 13. Conference on Wirtschaftsinformatik 2017, St. Gallen: Switzerland, February 12 – 15.

    Hopf, K., Sodenkamp, M., Kozlovskiy, I. (2016). Energy Data Analytics for Improved Residential Service Quality and Energy Efficiency. 24. European Conference on Information Systems (ECIS'16), Istanbul: Turkey, June 12 – 15.

    Kozlovskiy, I., Sodenkamp, M., Hopf, K., Staake, T. (2016). Energy Informatics for Environmental, Economic and Societal Sustainability: A Case of the Large-Scale Detection of Households with Old Heating Systems. 24. European Conference on Information Systems (ECIS'16), Istanbul: Turkey, June 12 – 15.

    Hopf, K., Sodenkamp, M., Kozlovskiy, I., Staake, T. (2015) Household Classification Using Annual Electricity Consumption Data, presented as poster at 4. D-A-CH+ Energieinformatik Konferenz, Karlsruhe: Germany, November 12 – 13.

    Hopf, K., Dagef?rde, F., Wolter, D. (2015). Identifying the Geographical Scope of Prohibition Signs, 12. International Conference on Spatial Information Theory (COSIT), Santa Fe: NM, USA, October 12 – 16. Proceedings in Lecture Notes in Computer Science, DOI: 10.1007/978-3-319-23374-1_12

    Hopf, K., Sodenkamp, M., Kozlovskiy, I., Staake, T. (2014). Feature extraction and filtering for household classification based on smart electricity meter data, 3. D-A-CH+ Energieinformatik Konferenz 2014, Zurich, Switzerland, November 13 – 14. In: Computer Science - Research and Development 31 (3), pp. 141-148, DOI: 10.1007/s00450-014-0294-4

    Monographs

    Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing. Dissertation, Contributions of the Faculty of Information Systems and Applied Computer Sciences of the Otto-Friedrich-University Bamberg (36), University of Bamberg Press, Bamberg, DOI: 10.20378/irbo-54833

    Software Libraries

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

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

    Invited talks and workshops

    • Support retailing of renewable energy systems with (interpretable) machine learning, Guest lecture at the University of Passau, July 07, 2021
    • Predictive Analytics for Energy Efficiency and Energy Retailing, Brown-Bag Seminar Information Systems, University of Passau, June 18, 2019
    • Data analytics with R, Management workshop for utility company representatives, University of Bamberg, April 2018
    • Mining Volunteered Geographic Information for Predictive Energy Data Analytics, PhD Workshop 'Energy Informatics' prior to the 6. D-A-CH+ Energy Informatics Conference in Lugano, Switzerland, October 04, 2017
    • Predictive Analytics in Energy Retail, Doctoral Consortium during the 25. European Conference on Information Systems (ECIS) in Guimar?es, Portugal, June 05, 2017
    • Lifting the value of customer data for marketing – Predictive analytics in energy retail, 9. BarCamp Nürnberg, Germany, May 13, 2017
    • Das Internet der Dinge – Experimente mit intelligenten Stromz?hlern, Workshop at Girls and Technology Day of the University of Bamberg, October 28, 2014
    • Heimat ohne fossile Energietr?ger realisieren (H.o.f.E.r.) - Raus aus dem Energiestrudel, Neumarkter Nachhaltigkeitskonferenz 2010, June 25, 2010
    • Raus aus dem Energiestrudel, 17. Symposium der Deutschen Bundesstiftung Umwelt (DBU) und der Freunde und F?rderer des Zentrums für Umwelt und Kultur, Benediktbeuern, September 29, 2009