Konstantin Hopf

Room: WE5/02.062

Telephone: +49 951 863 2236

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

Consultation hours by appointment

Academic Career

Research Interests

  • Data analytics and machine learning
  • Decision support systems
  • Energy informatics and energy efficiency
  • Open data and volunteered geographic information

Research Projects

Publications

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, (online first), 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

Book chapters and others

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

Talks

  • "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, 04.10.2017
  • "Predictive Analytics in Energy Retail", Doctoral Consortium during the 25. European Conference on Information Systems (ECIS) in Guimarães, Portugal, 05.06.2017
  • "Lifting the value of customer data for marketing – Predictive analytics in energy retail", 9. BarCamp Nürnberg, Germany, 13.05.2017
  • "Heimat ohne fossile Energieträger realisieren (H.o.f.E.r.) - Raus aus dem Energiestrudel", Neumarkter Nachhaltigkeitskonferenz 2010, 25.06.2010
  • "Raus aus dem Energiestrudel", 17. Symposium der Deutschen Bundesstiftung Umwelt (DBU) und der Freunde und Förderer des Zentrums für Umwelt und Kultur, Benediktbeuern, 29.09.2009