2 citations · 2 across the 6 of their papers we have counts for
8 papers
FLARE: A Data-Efficient Surrogate for Predicting Displacement Fields in Directed Energy Deposition
Kittipong Thiamchaiboonthawee, Ghadi Nehme, Ram Mohan Telikicherla +5
Directed energy deposition (DED) produces complex thermo-mechanical responses that can lead to distortion and reduced dimensional accuracy of a manufactured part. Thermo-mechanical…
Efficient Industrial Refrigeration Scheduling with Peak Pricing
Rohit Konda, Jordan Prescott, Vikas Chandan +5
The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for ener…
Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration
Rohit Konda, Vikas Chandan, Jesse Crossno +4
The ubiquity and energy needs of industrial refrigeration has prompted several research studies investigating various control opportunities for reducing energy demand. This work fo…
Decentralized Thermal Control of Buildings
Vikas Chandan
Energy requirements for heating and cooling of buildings constitute a major fraction of end use energy consumed. Therefore, it is important to provide the occupant comfort requirem…
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…
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…