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Frauke Liers - (Data-driven) distributional robustness over time: How to 'learn' relevant uncertai..
Daniel Kuhn - Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
Earth Day Teach Out | Prof. Johanna Mathieu on a Sustainable Power Grid
A General Framework for Optimal Data-Driven Optimization
Johanna Mathieu: Harnessing Residential Loads for Demand Response
Lightning Talk: Johanna Mathieu
Lightning Talk: Johanna Mathieu
From Moderate Deviations Theory to Distributionally Robust Optimization: Correlated Data
UW ECE Research Colloquium, January 19, 2021: Johanna Mathieu, University of Michigan
IROS2020 Data-Driven Distributionally Robust Electric Vehicle Balancing under Model Uncertainties
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Last Updated: September 28, 2026
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The water and power networks are heavily interdependent. The water network requires power for the extraction, treatment, and ... Speaker: Daniel Kuhn (EPFL) Event: DTU CEE Summer School 2018 on "Modern Please find more details about the seminar on our webpage: sites.google.com/view/row-series/home. More information on our webpage: sites.google.com/view/row-series/home. Presented December 8, 2012 at the University of Florida by the Laboratory for Cognition and Control in Complex Systems. As part of the Lightning Talk Series focused on Cities, Mobility, and the Built Environment, Full title: From Moderate Deviations Theory to Managing uncertainty in coupled power and water distribution networks Abstract The water and power networks are heavily ... Publication Title: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Article Title:
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