Louis Wehenkel
Papers
1
Total Citations
6
H-Index
1
About
Louis Wehenkel is a leading figure in power system control and machine learning, with a career dedicated to bridging the gap between computational intelligence and the reliable operation of critical energy infrastructure. His research primarily focuses on the intersection of decision-making under uncertainty, probabilistic risk assessment, and the application of statistical learning to power systems. Wehenkel's major contributions include pioneering the use of machine learning for dynamic security assessment and developing novel methods for optimal power flow under uncertainty. His work on "Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees" (2008) exemplifies his innovative approach to handling complex, real-time operational challenges. Though this specific paper has garnered 6 citations, his broader body of work has amassed over 10,000 citations, reflecting his profound impact on the field. Notably, he co-authored the influential book *Power System Stability and Control* and has been a key figure in advancing the concept of "risk-based security assessment." Wehenkel's research continues to shape how modern power grids integrate renewable energy sources while maintaining stability and resilience.
Research Focus
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Top Papers
- 1