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Real-world telemetry data and Internet of Things collide with scientific machine learning #sciml? Devices which can learn how to adapt to reality and continually improve their efficiency. #UDEs with #Dyad => better thermal efficiency. See : arxiv.org/abs/2603.15943 #julialang #AI4Science
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Calibration of dynamic models to data is an important step in building building digital twins of HVAC equipment, thermal loads and control systems. Sometimes, when a model fails to calibrate to data, ...
arxiv.org
Scientific Machine Learning-assisted Model Discovery from Telemetry Data
Chris Rackauckas