:star: Our paper Learning-Augmented Online Control for Decarbonizing Water Infrastructures has been accepted by e-Energy’25! This paper provides a learning-augmented control algorithm for a critical infrastructure: the municipal water supply systems. The algorithm guarantees the worst-case safety of water supply (e.g. for fire protection) while minizing the energy costs for pumping water.