70 citations · 150 across the 31 of their papers we have counts for
5 papers · 1 filter
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
Jan Drgona, Aaron Tuor, Soumya Vasisht +2
We present a differentiable predictive control (DPC) methodology for learning constrained control laws for unknown nonlinear systems. DPC poses an approximate solution to multipara…
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees
Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian +3
Recent studies have demonstrated the potential of flexible loads in providing frequency response services. However, uncertainty and variability in various weather-related and end-u…
Randomized Algorithms for Scientific Computing (RASC)
Aydin Buluc, Tamara G. Kolda, Stefan M. Wild +16
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office o…
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads
Milan Jain, Soumya Kundu, Arnab Bhattacharya +5
For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for gri…
Constrained Block Nonlinear Neural Dynamical Models
Elliott Skomski, Soumya Vasisht, Colby Wight +3
Neural network modules conditioned by known priors can be effectively trained and combined to represent systems with nonlinear dynamics. This work explores a novel formulation for…