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Found 3 papers, 1 papers with code
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps
By combining a control scheme based on Robust Model Predictive Control, with affine policies, and heating demand forecasting based on Artificial Neural Networks with online correction methods, we offer frequency regulation reserves and maintain user comfort with a system comprising a heat pump and buffer storage.
Learning solutions to hybrid control problems using Benders cuts
Hybrid control problems are complicated by the need to make a suitable sequence of discrete decisions related to future modes of operation of the system.
Two-stage stochastic approximation for dynamic rebalancing of shared mobility systems
Mobility systems featuring shared vehicles are often unable to serve all potential customers, as the distribution of demand does not coincide with the positions of vehicles at any given time.
Optimization and Control
