Poster Abstract: Combining Multiple Forecast for Improved Day Ahead Prediction of Wind Power Generation. - Milan Jain; Amarjeet Singh 001 (e-Energy, 2015)

Data driven feedback for optimized and efficient usage of decentralized air conditioners. - Milan Jain (PerCom Workshops, 2016)

Non-intrusive estimation and prediction of residential AC energy consumption. - Milan Jain; Amarjeet Singh 001; Vikas Chandan (PerCom, 2016)

Decision support system for room level air conditioners. - Milan Jain (UbiComp/ISWC Adjunct, 2017)

ThermalSim: A Thermal Simulator for Error Analysis. - Milan Jain (CoRR, 2017)

On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings. - Rachel K. Kalaimani; Milan Jain; Srinivasan Keshav; Catherine Rosenberg (CoRR, 2017)

Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings. - Milan Jain; Amarjeet Singh 001; Vikas Chandan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Energy Efficient Thermostats for Room Level Air Conditioning. - Milan Jain (SmartObjects@CHI, 2018)

Using personal environmental comfort systems to mitigate the impact of occupancy prediction errors on HVAC performance. - Milan Jain; Rachel K. Kalaimani; Srinivasan Keshav; Catherine Rosenberg (Energy Inform., 2018)

Beyond Control: Enabling Smart Thermostats for Leakage Detection. - Milan Jain; Mridula Gupta; Amarjeet Singh 001; Vikas Chandan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. - Milan Jain; Khushboo Gupta; Arun V. Sathanur; Vikas Chandan; Mahantesh Halappanavar (ACC, 2021)

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. - Milan Jain; Soumya Kundu; Arnab Bhattacharya 008; Sen Huang; Vikas Chandan; Nikitha Radhakrishnan; Veronica Adetola; Draguna L. Vrabie (ACC, 2021)

FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. - Milan Jain; Pandarasamy Arjunan (BuildSys, 2021)

Workload characterization of a time-series prediction system for spatio-temporal data. - Milan Jain; Sayan Ghosh; Sai Pushpak Nandanoori (CF, 2022)

Sparse Deep Neural Network Inference Using Different Programming Models. - Hyungro Lee; Milan Jain; Sayan Ghosh (HPEC, 2022)

FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. - Milan Jain; Pandarasamy Arjunan (BuildSys, 2022)

Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities. - Milan Jain; Narmadha Meenu Mohankumar; Heng Wan; Sumitrra Ganguly; Kyle D. Wilson; David M. Anderson (CoRR, 2023)

Deep Reinforcement Learning to Maximize Arterial Usage during Extreme Congestion. - Ashutosh Dutta; Milan Jain; Arif Khan; Arun V. Sathanur (CoRR, 2023)

A Machine Learning Framework to Deconstruct the Primary Drivers for Electricity Market Price Events. - Milan Jain; Xueqing Sun; Sohom Datta; Abhishek Somani (CoRR, 2023)

Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset. - Heng Wan; Sumitrra Ganguli; Milan Jain; David M. Anderson; Narmadha Meenu Mohankumar; Kyle D. Wilson (Comput. Environ. Urban Syst., 2023)

Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities. - Narmadha Meenu Mohankumar; Milan Jain; Heng Wan; Sumitrra Ganguli; Kyle D. Wilson; David M. Anderson (J. Soc. Comput., 2024)

Predicting Curb Side Parking Availability for Commercial Vehicle Loading Zones. - Milan Jain; Vinay C. Amatya; Amelia Bleeker; Soumya Vasisht; John T. Feo; Katherine E. Wolf (Int. J. Intell. Transp. Syst. Res., 2024)

Analyzing inference workloads for spatiotemporal modeling. - Milan Jain; Nicolas Bohm Agostini; Sayan Ghosh; Antonino Tumeo (Future Gener. Comput. Syst., 2025)

AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis. - Milan Jain; Burcu Ozcelik Mutlu; Caleb Stam; Jan Strube 001; Brian Schupbach; Jason Michael St. John; William A. Pellico (CoRR, 2025)