Professor Ketter’s research group aims to advance society toward a sustainable future through a highly interdisciplinary research program that draws from data analytics, decision science, computer science, economics, behavioural science, and machine learning. Their work applies analysis and synthesis to address the question of how information systems can be designed to address sustainability challenges in society. Topics include:

• Analysis and Design of Multi-echelon Markets
• Behavioral Economics
• Competitive Benchmarking of sustainability policies and strategies
• Smart (Energy) Markets
• Autonomous and semi-autonomous decision support through intelligent software agents
• Simulation of markets and society
• Sustainable business models

Examples include:

• Power TAC - Competitive Benchmarking
• Cassandra - Smart Grid stakeholder simulation
• Dutch Flower Auctions
• Market-based electric vehicle charging coordination
• Autonomous Agents and vehicles in Smart Cities
• Electric vehicle fleet management
• Impact of high penetration of renewable energy on electricity markets
• Bidding strategies for renewable energy in electricity markets
• Industrial and residential energy cooperatives
• Tackling the intermittency challenges of renewable energy

For further details, see Prof. Ketter’s Research Research Group.

Selected publications

1. Micha Kahlen, Wolfgang Ketter, and Jan van Dalen. Electric Vehicle Virtual Power Plant Dilemma: Grid Balancing Versus Customer Mobility. In Production and Operations Management, 27(11):2054–2070, 2018.
2. Markus Peters, Maytal Saar-Tsechansky, Wolfgang Ketter, Sinead Williamson, Perry Groot, and Tom Heskes. A Scalable Preference Model for Autonomous Decision- Making. In Machine Learning, 107(6):1039–1068, 2018.
3. Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, and John Collins. Autonomous data-driven decision-making in Smart Electricity Markets. Machine Learning, 92(1):5-39, 2013.
4. Wolfgang Ketter, John Collins, Maria Gini, Alok Gupta, and Paul Schrater. Real-time Tactical and Strategic Sales Management for Intelligent Trading Agents Guided by Economic Regimes. Information Systems Research, 23(4):1263–1283, 2012.
5. Derck Koolen, Navid Sadat-Razavi, and Wolfgang Ketter. Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing. Applied Sciences, 7(11):1160, 2017
6. Alexander Rieger, Robert Thimmel, Gilbert Fridgen, Micha Kahlen, and Wolfgang Ketter. Estimating the Benefits of Cooperation in a Residential Microgrid: A Data-Driven Approach. Applied Energy, 180:130–141, 2016.
7. Konstantina Valogianni and Wolfgang Ketter. Data-Driven Electricity Customer Decision Support: Evidence from a Real-world Pilot. In Decision Support Systems, 91:48–66, 2016.
8. Wolfgang Ketter, Markus Peters, John Collins, and Alok Gupta. Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics. Management Information Systems Quarterly, 40(4):1057–1080, December 2016.
9. Yixin Lu, Alok Gupta, Wolfgang Ketter, and Eric van Heck. Exploring Bidder Heterogeneity in Multi-Channel Sequential B2B Auctions. In Management Information Systems Quarterly, 40(3):645–662,September 2016.
10. Wolfgang Ketter, Markus Peters, John Collins, and Alok Gupta. A Multi-agent Competitive Gaming Platform to address Societal Challenges. In Management Information Systems Quarterly, 40(2):447–460, June 2016.