Ableitner, L., Tiefenbeck, V., Meeuw, A., Wörner, A., and Wortmann, F. (2020)
User Behavior in a Real-World Peer-to-Peer Electricity Market
Applied Energy.
Meeuw, A., Schopfer, S., Wörner, A., Tiefenbeck, V., Ableitner, L., Fleisch, E., and Wortmann, F. (2020)
Implementing a blockchain-based local energy market: Insights on communication and scalability
Published in Computer Communications
Wörner, A., Meeuw, A., Ableitner, A., Wortmann, F., Schopfer, S., Tiefenbeck, V. (2019)
Trading solar energy within the neighborhood: field implementation
of a blockchain-based electricity
market
Energy Informatics 2(11), pp.
1-12.
Tiefenbeck, V., Wörner, A., Schöb, S., Fleisch, E., Staake, T. (2019)
Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary
incentives.
Nature Energy 4(1), pp. 35-41.
Sodenkamp, M., Wenig, J., Thiesse, F., Staake, T. (2019)
Who can drive electric? Segmentation of car drivers based on longitudinal GPS travel data.
Energy Policy 130, pp. 111-129.
Griego, D., Schopfer, S., Henze, G., Fleisch, E., Tiefenbeck, V. (2018)
Aggregation effects for microgrid communities at varying sizes and prosumer‐consumer ratios.
Energy Procedia 159, pp. 346-351.
Hopf, K., Sodenkamp, M., Staake, T.
(2018)
Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential
Sector.
Electronic Markets 28(4), pp. 453-473.
Hopf, K. (2018)
Mining Volunteered Geographic Information for Predictive Energy Data Analytics.
Energy Informatics 1(1), 4.
Santini, S., Tiefenbeck, V. (2018)
Editorial 6thDACH+ Conference on Energy
Informatics
Computer Science - Research and Development.
Schopfer, S., Tiefenbeck, V., Fleisch, E., Staake, T. (2018)
Economic assessment of photovoltaic battery systems based on household load profiles
Applied Energy
223, p. 229-248.
Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., Staake, T. (2018)
Overcoming salience bias: how real-time feedback fosters resource
conservation.
Management Science, pp. 1458-1476.
Hauser, M., Günther, S., Flath, C. M., Thiesse, F. (2017)
Leveraging RFID Data Analytics for the Design of an Automated Checkout
System.
Wirtschaftsinformatik 2017, St. Gallen, Switzerland, February 12-15.
Schöb, S., Günther, S. A., Regensburger, K., Staake, T. (2017)
NIWM: Non-intrusive water monitoring to uncover heat energy use in households.
Computer Science - Research and Development, pp. 127-133.
Schopfer, S., Tiefenbeck, V., Fleisch, E., Staake, T. (2017)
Providing primary frequency control with residential scale photovoltaic-battery systems.
Computer Science - Research and Development, pp. 105-115.
Sodenkamp, M., Kozlovskiy, I., Hopf, K., Staake, T. (2017)
Smart Meter Data Analytics for Enhanced Energy Efficiency in the Residential Sector.
Wirtschaftsinformatik 2017, St. Gallen, Switzerland, February 12-15.
Tiefebeck, V. (2017)
Bring behaviour into the digital transformation.
Nature Energy, pp. 17085-17087.
Sodenkamp, M.A., Tavana, M. and Di Caprio, D. (2016)
Modeling synergies in
multi-criteria supplier selection and order allocation: An application to commodity trading.
European Journal of Operational Research, 254(3), pp. 859-874.
Sodenkamp, M., Kozlovskiy, I., Staake, T. (2016)
Decision Analytics 3:1.
Hopf, K., Sodenkamp, M., Kozlovskiy, I., Staake, T. (2015)
Feature extraction and filtering for household classification based on smart electricity meter data.
Computer Science – Research and Development, pp. 1-8, 2015.
Scherer, M., Haubensak, O., Staake, T. (2015)
Energy Policy, 86, pp. 792-801.
Beckel, C., Sadamoria, L., Staake T., Santini, S. (2014)
Revealing Household Characteristics from Smart Meter Data.
Energy, vol. 78, 2014, p. 397-410.
Sodenkamp, M., Hopf, K., & Staake, T. (2014)
Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing.
Handbook of Research on Organizational Transformations through Big Data Analytics, 320.
Goebel, C., Jacobsen, H.-A., Razo, V., Doblander, C., Rivera, J., Ilg, J., Flath, C., Schmeck, H., Weinhardt, C., Pathmaperuma, D., Appelrath, H.-J., Sonnenschein, M., Lehnhoff, S., Kramer, O., Staake, T., Fleisch, E., Neumann, D., Strüker, J., Erek, K., Zarnekow, R., Ziekow, H., Lässig, J. (2014)
Business & Information Systems Engineering, vol. 1(7), 2014.
Paefgen, J., Staake, T., Fleisch, E. (2014)
Multivariate exposure modeling of accident risk: Insights from pay-as-you-drive insurance data.
Transportation Research Part A: Policy and Practice, vol. 61, 2014, p. 27-40.
Paefgen, J., Staake, T., Thiesse, F. (2014)
Decision Support Systems, vol. 56, 2013, p. 192-201.
Burger, N., Staake, T., Fleisch, E., Hierold, C. (2013)
Managing technology development teams – exploring the case of microsytems and nanosystems.
R&D Management, vol. 43, 2013, p. 162-186.
Loock, C., Staake, T., Thiesse, F. (2013)
MIS Quarterly, vol. 37(4), 2013, p. 1313-1332.
Tiefenbeck, V., Staake, T., Roth, K., Sachs, O. (2013)
Energy Policy, vol. 57, 2013, p- 160-171.
Sodenkamp, M.A. and Suhl, L. (2012)
A multicriteria multilevel group decision method for supplier selection and order allocation.
International Journal of Strategic Decision Sciences (IJSDS), 3(1), pp. 81-105.
Staake, T., Thiesse, F., Fleisch, E. (2012)
Business Strategies in the Counterfeit Market.
Journal of Business Research, vol. 65(5), 2012, pp. 658-665.
Staake, T., Graml, T., Baeriswyl, M., Loock, C. (2011)
Durch Online-Interaktion Kunden für Energiedienstleistungen begeistern.
Zeitschrift für Energie, Markt, Wettbewerb, (2)11, 2011.
Thiesse, F., Staake, T., Schmitt, P., Fleisch, E. (2011)
The Rise of the ‘Next-Generation Bar Code': An International RFID Adoption Study.
Supply Chain Management: An International Journal, vol. 16(5), 2011, pp. 328-345.