8 papers
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…
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan +1
We present a physics-constrained control-oriented deep learning method for modeling building thermal dynamics. The proposed method is based on the systematic encoding of physics-ba…
Constrained Neural Ordinary Differential Equations with Stability Guarantees
Aaron Tuor, Jan Drgona, Draguna Vrabie
Differential equations are frequently used in engineering domains, such as modeling and control of industrial systems, where safety and performance guarantees are of paramount impo…
Model Predictive Control of Discrete-Continuous Energy Systems via Generalized Disjunctive Programming
Arnab Bhattacharya, Xu Ma, Draguna Vrabie
Generalized Disjunctive Programming (GDP) provides an alternative framework to model optimization problems with both discrete and continuous variables. The key idea behind GDP invo…
Prioritized Threshold Allocation for Distributed Frequency Response
Sai Pushpak Nandanoori, Soumya Kundu, Draguna Vrabie +2
Higher penetration of renewable generation will increase the demand for adequate (and cost-effective) controllable resources on the grid that can mitigate and contain the contingen…