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Scenario-based model predictive control of water reservoir systems
The optimal operation of water reservoir systems is a challenging task involving multiple conflicting objectives.
Hourly operation of a regulated lake via Model Predictive Control
The optimal operation of regulated lakes is a challenging task involving conflicting objectives, ranging from controlling lake levels to avoid floods and low levels to water supply downstream.
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review
The accurate prediction, characterization, and attribution of atmospheric EEs is therefore a key research field, in which many groups are currently working by applying different methodologies and computational tools.
Learning-based hierarchical control of water reservoir systems
The optimal control of a water reservoir systems represents a challenging problem, due to uncertain hydrologic inputs and the need to adapt to changing environment and varying control objectives.
