Srinarayana Nagarathinam

According to our database, Srinarayana Nagarathinam authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply.

Ajay Narayanan, Srinarayana Nagarathinam, Prasant Misra, Arunchandar Vasan

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2022

Optimization for Infrastructure Cyber-Physical Systems.

Arunchandar Vasan, Prasant Misra, Srinarayana Nagarathinam, Venkata Ramakrishna, Ramasubramanian Suriyanarayanan, Yashovardhan Chati

CoRR, 2022

PACMAN: physics-aware control MANager for HVAC.

Srinarayana Nagarathinam, Yashovardhan S. Chati, Malini Pooni Venkat, Arunchandar Vasan

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2021

User Placement and Optimal Cooling Energy for Co-working Building Spaces.

Srinarayana Nagarathinam, Arunchandar Vasan, Venkatesh Sarangan, Rajesh Jayaprakash, Anand Sivasubramaniam

ACM Trans. Cyber Phys. Syst., 2021

Learn to chill: intelligent chiller scheduling using meta-learning and deep reinforcement learning.

Praveen Manoharan, Malini Pooni Venkat, Srinarayana Nagarathinam, Arunchandar Vasan

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning.

Sagar Verma, Supriya Agrawal, R. Venkatesh, Ulka Shrotri, Srinarayana Nagarathinam, Rajesh Jayaprakash, Aabriti Dutta

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Keep it open, Keep it safe: Maximizing Space Utilization in Intelligent Bio-safe Buildings.

Praveen Manoharan, Srinarayana Nagarathinam, Arunchandar Vasan, Venkata Ramakrishna P.

Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

MARCO - Multi-Agent Reinforcement learning based COntrol of building HVAC systems.

Srinarayana Nagarathinam, Vishnu Menon, Arunchandar Vasan, Anand Sivasubramaniam

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019

One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant.

Srinarayana Nagarathinam, Harihara Subrahmaniam Muralidharan, Arunchandar Vasan, Venkatesh Sarangan, Sermisha Narayana, Anand Sivasubramaniam

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

2018

Good set-points make good neighbors: user seating and temperature control in uberized workspaces.

Srinarayana Nagarathinam, Arunchandar Vasan, Venkatesh Sarangan, Rajesh Jayaprakash, Anand Sivasubramaniam

Proceedings of the 5th Conference on Systems for Built Environments, 2018

2017

Incentive design for demand-response based on building constraints: a utility perspective.

Kundan Kandhway, Arunchandar Vasan, Srinarayana Nagarathinam, Venkatesh Sarangan, Anand Sivasubramaniam

Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

2015

Centralized Management of HVAC Energy in Large Multi-AHU Zones.

Srinarayana Nagarathinam, Arunchandar Vasan, Venkata Ramakrishna P., Shiva R. Iyer, Venkatesh Sarangan, Anand Sivasubramaniam

Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

On the Utility of Occupancy Sensing for Managing HVAC Energy in Large Zones.

Srinarayana Nagarathinam, Shiva R. Iyer, Arunchandar Vasan, Venkata Ramakrishna P., Venkatesh Sarangan, Anand Sivasubramaniam

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015