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Found 2 papers, 1 papers with code
Physics-informed machine learning as a kernel method
In this context, we consider a general regression problem where the empirical risk is regularized by a partial differential equation that quantifies the physical inconsistency.
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
To fill that gap, the Smarter Mobility Data Challenge has focused on the development of forecasting models to predict EV charging station occupancy.
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