Our research on the power of real-time feedback to overcome salience bias (“Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation”, Tiefenbeck et al. 2018, Link) has been featured in an essay by Armin Falk published in “Der Tagesspiegel”.
Sustainable energy supply in the private sector remains a key challenge of the energy transition. The research group around Dr. Konstantin Hopf at the University of Bamberg’s Bits-to-Energy Lab has been investigating the effective use of advanced data analytics and machine learning (ML) in this area for several years.
The B2E research article "Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives" by Verena Tiefenbeck, Aneselma Wörner, Samuel Schöb, Elgar Fleisch, and Thorsten Staake has been selected as one of the nine favorite articles by present and former editors of the journal.
On Monday, October 12, Prof. Dr. Verena Tiefenbeck gave a virtual talk at the Energy Resources Engineering (ERE) department of Stanford University. The talk called ‘The energy transition beyond simulations and theory: Dealing with the human in the loop in the real world’, summarized the results of two field studies in Switzerland that showed successful approaches to incorporate consumers in the energy transition.