Data-Driven Control and Its Applications to Microgrids

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Data-Driven Control and Its Applications to Microgrids

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Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics

Research on optimal scheduling of a photovoltaic-storage-charging integrated power station based on intraday two-stage model predictive control

Measurement - Based/Model-Less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids

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Robust Collaborative Learning with Linear Gradient Overhead

Saddle-to-Saddle Dynamics in Diagonal Linear Networks

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Locality defeats the curse of dimensionality in convolutional teacher-student scenarios*

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