Predictive control of complex hydronic systems. - Vikas Chandan; Sandipan Mishra; Andrew G. Alleyne (ACC, 2010)

Optimal control architecture selection for thermal control of buildings. - Vikas Chandan; Andrew G. Alleyne (ACC, 2011)

Decentralized architectures for thermal control of buildings. - Vikas Chandan; Andrew G. Alleyne (ACC, 2012)

Modeling and optimization of a combined cooling, heating and power plant system. - Vikas Chandan; Anh-Tuan Do; Baoduo Jin; Faryar Jabbari; Jack Brouwer; Ioannis Akrotirianakis; Amit Chakraborty; Andrew G. Alleyne (ACC, 2012)

Learning/repetitive control for building systems with nearly periodic disturbances. - Kasper Vinther; Vikas Chandan; Andrew G. Alleyne (ECC, 2013)

Optimal Partitioning for the Decentralized Thermal Control of Buildings. - Vikas Chandan; Andrew G. Alleyne (IEEE Trans. Control. Syst. Technol., 2013)

UrJar: A Lighting Solution using Discarded Laptop Batteries. - Vikas Chandan; Mohit Jain; Harshad Khadilkar; Zainul Charbiwala; Anupam Jain; Sunil Kumar Ghai; Rajesh Kunnath; Deva P. Seetharam (ACM DEV, 2014)

iDR: consumer and grid friendly demand response system. - Vikas Chandan; Tanuja Ganu; Tri Kurniawan Wijaya; Marilena Minou; George D. Stamoulis; George A. Thanos; Deva P. Seetharam (e-Energy, 2014)

DC Picogrids as power backups for office buildings. - Harshad Khadilkar; Vikas Chandan; Sandeep Kalra; Sunil Kumar Ghai; Zainul Charbiwala; Tanuja Ganu; Rajesh Kunnath; Chee Ming Lim; Deva P. Seetharam (SmartGridComm, 2014)

UrJar: A Device to Address Energy Poverty Using E-Waste. - Vikas Chandan; Mohit Jain; Harshad Khadilkar; Zainul Charbiwala; Anupam Jain; Sunil Kumar Ghai; Rajesh Kunnath; Deva P. Seetharam (e-Energy, 2015)

Spatio-temporal energy profiling of commercial buildings. - Rohit Chintala; Vikas Chandan; Sunil K. Ghai; Zainul M. Charbiwala; Deva P. Seetharam (ISGT Asia, 2015)

A context vector regression based approach for demand forecasting in district heating networks. - Subendhu Rongali; Anamitra R. Choudhury; Vikas Chandan; Vijay Arya (ISGT Asia, 2015)

Using renewables to reduce peak demand: Lessons from an Australian experience. - Arun Vishwanath; Sunil Kumar Ghai; Vikas Chandan; Tanuja Ganu; Zainul Charbiwala; Shivkumar Kalyanaraman; Charles Blake 002 (ISGT Asia, 2015)

Short Paper: Data Driven Pre-cooling for Peak Demand Reduction in Commercial Buildings. - Vikas Chandan; Arun Vishwanath; Min Zhang; Shivkumar Kalyanaraman (BuildSys, 2015)

Methodologies for effective demand response messaging. - Mohit Jain; Vikas Chandan; Marilena Minou; George A. Thanos; Tri Kurniawan Wijaya; Achim Lindt; Arne Gylling (SmartGridComm, 2015)

Incentives and targeting policies for automated demand response contracts. - Marilena Minou; George D. Stamoulis; George A. Thanos; Vikas Chandan (SmartGridComm, 2015)

Thermally-fair demand response for district heating and cooling (DHC) networks. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (e-Energy, 2016)

Optimizing energy costs of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; A. Kumar; Vikas Chandan; Vijay Arya; Sridhar R; Babitha Ramesh (e-Energy (Posters), 2016)

Software-only occupancy inference in a workplace findings from a field trial. - Mohit Jain; Vikas Chandan; Ashok Pon Kumar; Vijay Arya; Sridhar R; Babitha Ramesh (ISGT, 2016)

Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. - Megha Nawhal; Heena Bansal; Ashok Pon Kumar; Vikas Chandan; Sridhar R; Babitha Ramesh; Sunil Kumar Ghai; Harshad Khadilkar; Deva P. Seetharam; Zainul M. Charbiwala; Vijay Arya; Amith Singhee (ISGT Europe, 2016)

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

Fairness based Demand Response in DHC networks using real time parameter identification. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (SmartGridComm, 2016)

Minimizing energy costs of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; Vikas Chandan; Vijay Arya (SmartGridComm, 2016)

Set-point optimization frameworks for leveraging passive thermal storage in buildings. - Kumar Saurav; Arun Vishwanath; Vikas Chandan (SmartGridComm, 2016)

DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks. - Saptarshi Bhattacharya; Vikas Chandan; Vijay Arya; Koushik Kar (e-Energy, 2017)

Gray-Box Approach for Thermal Modelling of Buildings for Applications in District Heating and Cooling Networks. - Kumar Saurav; Vikas Chandan (e-Energy, 2017)

A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings. - Arun Vishwanath; Vikas Chandan; Cameron Mendoza; Charles Blake 002 (e-Energy, 2017)

A Learning Framework for Control-Oriented Modeling of Buildings. - Javier Rubio-Herrero; Vikas Chandan; Charles Siegel; Abhinav Vishnu; Draguna L. Vrabie (ICMLA, 2017)

Algorithmic approach to minimize the energy cost of commercial buildings in developing countries. - Kumar Saurav; Heena Bansal; Megha Nawhal; Vijay Arya; Vikas Chandan (SmartGridComm, 2017)

Building modelling methodologies for virtual district heating and cooling networks. - Kumar Saurav; Anamitra Roy Choudhury; Vikas Chandan; Peter Lingman; Nicklas Linder (SmartGridComm, 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)

Optimal pre-cooling time: A closed form analysis. - Kumar Saurav; Arun Vishwanath; Vikas Chandan; Vijay Arya (ISGT, 2018)

Enabling real-world deployment of data driven pre-cooling in smart buildings. - Arun Vishwanath; Saverio Tripodi; Vikas Chandan; Charles Blake 002 (ISGT, 2018)

A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. - Indrasis Chakraborty; Vikas Chandan; Draguna L. Vrabie (e-Energy, 2019)

Coordination of Behind-the-Meter Energy Storage and Building Loads: Optimization with Deep Learning Model. - Yimin Chen; Vikas Chandan; Yunzhi Huang; M. Jan E. Alam; Osman Ahmed; Lane D. Smith (e-Energy, 2019)

Online Learning for Commercial Buildings. - Jin Dong; Thiagarajan Ramachandran; Piljae Im; Sen Huang; Vikas Chandan; Draguna L. Vrabie; P. Teja Kuruganti (e-Energy, 2019)

Scalable Computation of 2D-Minkowski Sum of Arbitrary Non-Convex Domains: Modeling Flexibility in Energy Resources. - Soumya Kundu; Vikas Chandan; Karan Kalsi (HICSS, 2019)

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)

An IoT-Based Data Driven Precooling Solution for Electricity Cost Savings in Commercial Buildings. - Arun Vishwanath; Vikas Chandan; Kumar Saurav (IEEE Internet Things J., 2019)

Optimizing HVAC Operations in Multi-unit Buildings for Grid Demand Response. - Syed Ahsan Raza Naqvi; Koushik Kar; Saptarshi Bhattacharya; Vikas Chandan (ACC, 2020)

Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. - Ján Drgona; Aaron Randall Tuor; Vikas Chandan; Draguna L. Vrabie (CoRR, 2020)

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)

Peak Power Reduction for HVAC Operations in Multi-unit Commercial Buildings. - Syed Ahsan Raza Naqvi; Koushik Kar; Saptarshi Bhattacharya; Vikas Chandan (ISGT, 2021)

Decentralized Thermal Control of Buildings. - Vikas Chandan (CoRR, 2021)

Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings. - Syed Ahsan Raza Naqvi; Vikas Chandan; Saptarshi Bhattacharya; Na Luo; Koushik Kar; Chitra Sivaraman; Nikitha Radhakrishnan (e-Energy (Companion), 2023)

Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. - Katarzyna Borowiec; Dan Lu 001; Vikas Chandan; Samrat Chatterjee; Pradeep Ramuhalli; Ramakrishna Tipireddy; Mahantesh Halappanavar; Frank Liu 001 (ICMLA, 2023)

Load Shifting for Compressor Sequencing in Industrial Refrigeration. - Rohit Konda; Vikas Chandan; Jesse Crossno; Blake Pollard; Dan Walsh; Rick Bohonek; Jason R. Marden (ACC, 2024)

Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration. - Rohit Konda; Vikas Chandan; Jesse Crossno; Blake Pollard; Dan Walsh; Rick Bohonek; Jason R. Marden (CoRR, 2024)

Efficient Industrial Refrigeration Scheduling with Peak Pricing. - Rohit Konda; Jordan Prescott; Vikas Chandan; Jesse Crossno; Blake Pollard; Dan Walsh; Rick Bohonek; Jason R. Marden (CoRR, 2024)