Peer Reviewed Journal Articles


Brudermüller T., Kreft M., Fleisch E., Starke, T. (2023)

Large-scale monitoring of residential heat pump cycling using smart meter data

Applied Energy 350, 121734


Nuñez-Jimenez A., Mehta P., Griego D. (2023)

Let it grow: How community solar policy can increase PV adoption in cities

Energy Policy 175, 113477




Mehta P., Tiefenbeck V. (2022)

Solar PV sharing in urban energy communities: Impact of community configurations on profitability, autonomy and the electric grid

Sustainable Cities and Society, 87, 104178


Wörner A., Tiefenbeck V., Wortmann F., Meeuw A., Ableitner L., Fleisch E., Azevedo I.:

Bidding on a Peer-to-Peer Energy Market: An Exploratory Field Study

Information Systems Research, 33(3), 765-1118


Shollo, A., Hopf, K., Thiess, T., Müller, T. (2022)

Shifting ML value creation mechanisms: A process model of ML value creation

The Journal of Strategic Information Systems, 31(3),101734


Fuchs K., Lian J., Michels L., Mayer S., Toniato E., Tiefenbeck V. (2022)

Effects of Digital Food Labels on Healthy Food Choices in Online Grocery Shopping

Nutrients, 14 


Weigert, A., Hopf, K., Günther, S., Staake, T. (2022)

Heat pump inspections result in large energy savings when a pre-selection of households is performed: A promising use case of smart meter data

Energy Policy 169, 113156.


Hopf, K., Weigert, A., Staake, T. (2022)

Value creation from analytics with limited data: a case study on the retailing of durable consumer goods

Journal of Decision Systems.



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.

Tiefenbeck, 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.