2 citations · 5 across the 6 of their papers we have counts for
8 papers
Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion
Ashutosh Dutta, Milan Jain, Arif Khan +1
Collisions, crashes, and other incidents on road networks, if left unmitigated, can potentially cause cascading failures that can affect large parts of the system. Timely handling…
Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities
Milan Jain, Narmadha Meenu Mohankumar, Heng Wan +3
Disadvantaged communities (DAC), as defined by the Justice40 initiative of the Department of Energy (DOE), USA, identifies census tracts across the USA to determine where benefits…
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…
Beyond Control: Enabling Smart Thermostats For Leakage Detection
Milan Jain, Mridula Gupta, Amarjeet Singh +1
Smart thermostats, with multiple sensory abilities, are becoming pervasive and ubiquitous, in both residential and commercial buildings. By analyzing occupants' behavior, adjusting…
Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance
Milan Jain, Rachel K Kalaimani, Srinivasan Keshav +1
Heating, Ventilation and Air Conditioning (HVAC) consumes a significant fraction of energy in commercial buildings. Hence, the use of optimization techniques to reduce HVAC energy…
Energy-Efficient Thermostats for Room-Level Air Conditioning
Milan Jain
Room-level air conditioners (also referred as ACs) consume a significant proportion of total energy in residential and small-scale commercial buildings. In a typical AC, occupants…
On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings
Rachel Kalaimani, Milan Jain, Srinivasan Keshav +1
Most modern HVAC systems suffer from two intrinsic problems. First, inability to meet diverse comfort requirements of the occupants. Second, heat or cool an entire zone even when t…
ThermalSim: A Thermal Simulator for Error Analysis
Milan Jain
Researchers have extensively explored predictive control strategies for controlling heating, ventilation, and air conditioning (HVAC) units in commercial buildings. Predictive cont…