Peer Reviewed Journal Articles



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) 
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)

Supervised classification with interdependent variables to support targeted energy efficiency measures in the residential sector. 

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)

Assessing distorted trading incentives of balance responsible parties based on the example of the Swiss power system.

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) 

Energy Informatics.

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) 

Evaluation and aggregation of pay-as-you-drive insurance rate factors: A classification analysis approach. 

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)

Motivating Energy-Efficient Behavior with Green IS: An Investigation of Goal Setting and the Role of Defaults.

MIS Quarterly, vol. 37(4), 2013, p. 1313-1332.

Tiefenbeck, V., Staake, T., Roth, K., Sachs, O. (2013)

For better or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign.

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.