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ORCIDVikas Chandan
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2020 – today
- 2024
[c42]Rohit Konda, Vikas Chandan, Jesse Crossno, Blake Pollard, Dan Walsh, Rick Bohonek, Jason R. Marden:
Load Shifting for Compressor Sequencing in Industrial Refrigeration. ACC 2024: 3505-3510- [i6]Rohit Konda, Vikas Chandan, Jesse Crossno, Blake Pollard, Dan Walsh, Rick Bohonek, Jason R. Marden:
Utilizing Load Shifting for Optimal Compressor Sequencing in Industrial Refrigeration. CoRR abs/2403.07831 (2024) - [i5]Rohit Konda, Jordan Prescott, Vikas Chandan, Jesse Crossno, Blake Pollard, Dan Walsh, Rick Bohonek, Jason R. Marden:
Efficient Industrial Refrigeration Scheduling with Peak Pricing. CoRR abs/2405.20433 (2024) - 2023
- [c41]Syed Ahsan Raza Naqvi
, Vikas Chandan, Saptarshi Bhattacharya, Na Luo, Koushik Kar, Chitra Sivaraman, Nikitha Radhakrishnan:
Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings. e-Energy (Companion) 2023: 140-144 - [c40]Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu:
Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. ICMLA 2023: 994-999 - 2021
- [c39]Milan Jain, Khushboo Gupta, Arun V. Sathanur, Vikas Chandan, Mahantesh Halappanavar:
Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data. ACC 2021: 2887-2894 - [c38]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. ACC 2021: 4171-4177 - [c37]Syed Ahsan Raza Naqvi, Koushik Kar, Saptarshi Bhattacharya, Vikas Chandan:
Peak Power Reduction for HVAC Operations in Multi-unit Commercial Buildings. ISGT 2021: 1-5 - [i4]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. CoRR abs/2103.11485 (2021) - [i3]Vikas Chandan:
Decentralized Thermal Control of Buildings. CoRR abs/2110.13654 (2021) - 2020
- [c36]Syed Ahsan Raza Naqvi, Koushik Kar, Saptarshi Bhattacharya, Vikas Chandan:
Optimizing HVAC Operations in Multi-unit Buildings for Grid Demand Response. ACC 2020: 2333-2338 - [i2]Ján Drgona, Aaron Randall Tuor, Vikas Chandan, Draguna L. Vrabie:
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. CoRR abs/2011.05987 (2020)
2010 – 2019
- 2019
- [j4]Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan:
Beyond Control: Enabling Smart Thermostats for Leakage Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 14:1-14:21 (2019) - [j3]Arun Vishwanath, Vikas Chandan, Kumar Saurav:
An IoT-Based Data Driven Precooling Solution for Electricity Cost Savings in Commercial Buildings. IEEE Internet Things J. 6(5): 7337-7347 (2019) - [c35]Yimin Chen, Vikas Chandan, Yunzhi Huang, M. Jan E. Alam, Osman Ahmed, Lane D. Smith:
Coordination of Behind-the-Meter Energy Storage and Building Loads: Optimization with Deep Learning Model. e-Energy 2019: 492-499 - [c34]Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie:
A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy 2019: 508-515 - [c33]Jin Dong, Thiagarajan Ramachandran, Piljae Im, Sen Huang, Vikas Chandan, Draguna L. Vrabie, P. Teja Kuruganti:
Online Learning for Commercial Buildings. e-Energy 2019: 522-530 - [c32]Soumya Kundu, Vikas Chandan, Karan Kalsi:
Scalable Computation of 2D-Minkowski Sum of Arbitrary Non-Convex Domains: Modeling Flexibility in Energy Resources. HICSS 2019: 1-10 - [i1]Milan Jain, Mridula Gupta, Amarjeet Singh, Vikas Chandan:
Beyond Control: Enabling Smart Thermostats For Leakage Detection. CoRR abs/1901.10580 (2019) - 2018
- [c31]Kumar Saurav, Arun Vishwanath, Vikas Chandan, Vijay Arya:
Optimal pre-cooling time: A closed form analysis. ISGT 2018: 1-5 - [c30]Arun Vishwanath, Saverio Tripodi, Vikas Chandan, Charles Blake:
Enabling real-world deployment of data driven pre-cooling in smart buildings. ISGT 2018: 1-5 - 2017
- [j2]Milan Jain, Amarjeet Singh, Vikas Chandan:
Portable+: A Ubiquitous And Smart Way Towards Comfortable Energy Savings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 14:1-14:22 (2017) - [c29]Arun Vishwanath, Vikas Chandan, Cameron Mendoza, Charles Blake:
A Data Driven Pre-cooling Framework for Energy Cost Optimization in Commercial Buildings. e-Energy 2017: 157-167 - [c28]Kumar Saurav, Vikas Chandan:
Gray-Box Approach for Thermal Modelling of Buildings for Applications in District Heating and Cooling Networks. e-Energy 2017: 347-352 - [c27]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
DReAM: Demand Response Architecture for Multi-level District Heating and Cooling Networks. e-Energy 2017: 353-359 - [c26]Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie:
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA 2017: 473-478 - [c25]Kumar Saurav, Anamitra Roy Choudhury, Vikas Chandan, Peter Lingman, Nicklas Linder:
Building modelling methodologies for virtual district heating and cooling networks. SmartGridComm 2017: 387-392 - [c24]Kumar Saurav, Heena Bansal, Megha Nawhal, Vijay Arya, Vikas Chandan:
Algorithmic approach to minimize the energy cost of commercial buildings in developing countries. SmartGridComm 2017: 393-398 - 2016
- [c23]Kumar Saurav, Heena Bansal, Megha Nawhal, A. Kumar, Vikas Chandan, Vijay Arya, Sridhar R, Babitha Ramesh:
Optimizing energy costs of commercial buildings in developing countries. e-Energy (Posters) 2016: 5:1-5:2 - [c22]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
Thermally-fair demand response for district heating and cooling (DHC) networks. e-Energy 2016: 15:1-15:11 - [c21]Mohit Jain, Vikas Chandan, Ashok Pon Kumar, Vijay Arya, Sridhar R, Babitha Ramesh:
Software-only occupancy inference in a workplace findings from a field trial. ISGT 2016: 1-5 - [c20]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:
Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe 2016: 1-6 - [c19]Milan Jain, Amarjeet Singh, Vikas Chandan:
Non-intrusive estimation and prediction of residential AC energy consumption. PerCom 2016: 1-9 - [c18]Kumar Saurav, Arun Vishwanath, Vikas Chandan:
Set-point optimization frameworks for leveraging passive thermal storage in buildings. SmartGridComm 2016: 26-31 - [c17]Saptarshi Bhattacharya, Vikas Chandan, Vijay Arya, Koushik Kar:
Fairness based Demand Response in DHC networks using real time parameter identification. SmartGridComm 2016: 32-37 - [c16]Kumar Saurav, Heena Bansal, Megha Nawhal, Vikas Chandan, Vijay Arya:
Minimizing energy costs of commercial buildings in developing countries. SmartGridComm 2016: 637-642 - 2015
- [c15]Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam:
UrJar: A Device to Address Energy Poverty Using E-Waste. e-Energy 2015: 195-196 - [c14]Rohit Chintala, Vikas Chandan, Sunil K. Ghai, Zainul M. Charbiwala, Deva P. Seetharam:
Spatio-temporal energy profiling of commercial buildings. ISGT Asia 2015: 1-6 - [c13]Subendhu Rongali, Anamitra R. Choudhury, Vikas Chandan, Vijay Arya:
A context vector regression based approach for demand forecasting in district heating networks. ISGT Asia 2015: 1-6 - [c12]Arun Vishwanath, Sunil Kumar Ghai, Vikas Chandan, Tanuja Ganu, Zainul Charbiwala, Shivkumar Kalyanaraman, Charles Blake:
Using renewables to reduce peak demand: Lessons from an Australian experience. ISGT Asia 2015: 1-6 - [c11]Vikas Chandan, Arun Vishwanath, Min Zhang, Shivkumar Kalyanaraman:
Short Paper: Data Driven Pre-cooling for Peak Demand Reduction in Commercial Buildings. BuildSys@SenSys 2015: 187-190 - [c10]Mohit Jain, Vikas Chandan, Marilena Minou, George A. Thanos, Tri Kurniawan Wijaya, Achim Lindt, Arne Gylling:
Methodologies for effective demand response messaging. SmartGridComm 2015: 453-458 - [c9]Marilena Minou, George D. Stamoulis, George A. Thanos, Vikas Chandan:
Incentives and targeting policies for automated demand response contracts. SmartGridComm 2015: 557-562 - 2014
- [c8]Vikas Chandan, Mohit Jain, Harshad Khadilkar, Zainul Charbiwala, Anupam Jain, Sunil Kumar Ghai, Rajesh Kunnath, Deva P. Seetharam:
UrJar: A Lighting Solution using Discarded Laptop Batteries. ACM DEV 2014: 21-30 - [c7]Vikas Chandan, Tanuja Ganu, Tri Kurniawan Wijaya, Marilena Minou, George D. Stamoulis, George A. Thanos, Deva P. Seetharam:
iDR: consumer and grid friendly demand response system. e-Energy 2014: 183-194 - [c6]Harshad Khadilkar, Vikas Chandan, Sandeep Kalra, Sunil Kumar Ghai, Zainul Charbiwala, Tanuja Ganu, Rajesh Kunnath, Chee Ming Lim, Deva P. Seetharam:
DC Picogrids as power backups for office buildings. SmartGridComm 2014: 157-162 - 2013
- [j1]Vikas Chandan, Andrew G. Alleyne:
Optimal Partitioning for the Decentralized Thermal Control of Buildings. IEEE Trans. Control. Syst. Technol. 21(5): 1756-1770 (2013) - [c5]Kasper Vinther, Vikas Chandan, Andrew G. Alleyne:
Learning/repetitive control for building systems with nearly periodic disturbances. ECC 2013: 1198-1203 - 2012
- [c4]Vikas Chandan, Anh-Tuan Do, Baoduo Jin, Faryar Jabbari, Jack Brouwer, Ioannis Akrotirianakis, Amit Chakraborty, Andrew G. Alleyne:
Modeling and optimization of a combined cooling, heating and power plant system. ACC 2012: 3069-3074 - [c3]Vikas Chandan, Andrew G. Alleyne:
Decentralized architectures for thermal control of buildings. ACC 2012: 3657-3662 - 2011
- [c2]Vikas Chandan, Andrew G. Alleyne:
Optimal control architecture selection for thermal control of buildings. ACC 2011: 2071-2076 - 2010
- [c1]Vikas Chandan, Sandipan Mishra, Andrew G. Alleyne:
Predictive control of complex hydronic systems. ACC 2010: 5112-5117
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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