Dr. Konstantin Hopf

Room: WE5/02.062

Telephone: +49 951 863 2236

Fax: +49 951 863 5077

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

Consultation hours by appointment

Academic Career

  • 2019 - today: Lecturer and Senior Researcher (Akademischer Rat a.Z.) at the Chair of Information Systems and Energy Efficient Systems, University of Bamberg
  • April 2019: PhD defense with grade summa cum laude; topic of the dissertation: "Predictive Analytics for Energy Efficiency and Energy Retailing"
  • 2018 (Feb - Apr): Teaching and research stay at the Copenhagen Business School, Department of Digitalization
  • 2014 - 2019: Senior Analyst and PhD student at the Information Systems and Energy Efficient Systems Group, University of Bamberg and member of the Bits-to-Energy Lab, a joint research initiative of ETH Zurich, University of Bamberg, and the University of St. Gallen (www.bits-to-energy.ch)
  • 2014 - 2015: Information Systems (M. Sc.), University of Bamberg
  • 2012 - 2013: Foreign semester at University of Skövde, 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.)

Research Focus

  • Integration of data science, especially machine learning techniques, in organizational decision-making processes

  • Field evaluation of predictive models based on corporate and behavioural data

  • Development of novel methods to exploit spatio-temporal data sources with machine learning algorithms (e.g. energy data, sensor data of user behaviour, open data, geographical information, data from social media)

Research Focus

  • Integration of data science, especially machine learning techniques, in organizational decision-making processes

  • Field evaluation of predictive models based on corporate and behavioural data

  • Development of novel methods to exploit spatio-temporal data sources with machine learning algorithms (e.g. energy data, sensor data of user behaviour, open data, geographical information, data from social media)

Selected Research Projects

Publications

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

Journal articles (peer-reviewed)

Hopf, K., Sodenkamp, M., Staake, T. (2018). Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector. Electronic Markets, 28(4), DOI: 10.1007/s12525-018-0290-9

Hopf, K. (2018). Mining Volunteered Geographic Information for Predictive Energy Data Analytics. Energy Informatics, 1:4, DOI: 10.1186/s42162-018-0009-3

Conference articles (peer reviewed)

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 EstimationACM 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), 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), 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., Dageförde, 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

Conference talks

Hopf, K., Fteimi, N., Staake, T., Lehner, F. (2019). The Role of Human Cognition and Mental Capabilities in Setting Up Artificial Intelligence, Pre-ICIS Workshop on the JAIS-MISQE Special Issue on Artificial Intelligence in Organizations, Munich, December 14

Müller, O., Shollo, A., Hopf, K., Thiess, T. (2019) The Pursuit of Data Driven Value Creation in Organizations: A Typology of Data Science Projects and Facilitators in the Value Creation Process, Pre-ICIS Workshop on the JAIS-MISQE Special Issue on Artificial Intelligence in Organizations, Munich, December 14

Weigert, A., Hopf, K., Staake, T. (2019). A Cognitive Computing Solution to Foster Retailing of Renewable Energy Systems, SIGGreen Pre-ICIS Workshop, Munich, December 15

Book chapters and technical reports

Weigert, A., Hopf, K., Staake, T., Rast, A., Marckhoff, J. (2020). SmartLoad – Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector, Final project report. Bundesamt für Energie, Schweiz (forthcoming)

Hopf, K., Staake, T. (2019). Methoden der Energiedatenanalyse, Final report for Eurostars Project „Energy Data Analytics: Steigerung der Servicequalität und der Energieeffizienz im Privatkundenbereich“ (forthcoming)

Sodenkamp, M., Hopf, K., Kozlovskiy, I., Staake, T. (2016). Smart-Meter-Datenanalyse für automatisierte Energieberatungen ("Smart Grid Data Analytics"), Final project report. Bundesamt für Energie, Schweiz

Sodenkamp, M., Hopf, K., Staake, T. (2015). Using supervised machine learning to explore energy consumption data in private sector housing. In: Tavana, M. & Puranam, K. (Eds.): Handbook of Research on Organizational Transformations through Big Data Analytics. Hershey, USA: IGI Global, DOI: 10.4018/978-1-4666-7272-7.ch019

Invited talks and workshops

  • 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 Guimarães, 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 Stromzählern, Workshop at Girls and Technology Day of the University of Bamberg, October 28, 2014
  • Heimat ohne fossile Energieträger 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 Förderer des Zentrums für Umwelt und Kultur, Benediktbeuern, September 29, 2009