A Planner-Trader Decomposition for Multi-Market Hydro Scheduling

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We address the problem of designing stabilizing control policies for nonlinear systems in discrete-time, while minimizing an arbitrary cost function. When the system is linear and the cost is convex, the System Level Synthesis (SLS) approach offers an effe ...

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Hydropower (HP) is the backbone of the Swiss electricity system providing around 60 % (36 TWh/a) of the total electricity generated on a yearly average. With the planned phase-out of nuclear power plants, HP and other Renewable Energy Sources (RES) will ne ...

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A Planner-Trader Decomposition for Multi-Market Hydro Scheduling

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Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

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Closed-loop data-driven modeling and distributed control for islanded microgrids with input constraints

Complexity analysis of stochastic gradient methods for PDE-constrained optimal control problems with uncertain parameters

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Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Sampling strategy optimization to increase statistical power in landscape genomics: a simulation-based approach