( en | de | ru )

 

Disambiguation of "Nagarathinam, Srinarayana"

Author of the publication

copydeleteadd this publication to your clipboard
EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning.

, , , , , , and . DAC, page 157-162. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Amudha Nagarathinam

 

Other publications of authors with the same name

Learn to chill: intelligent chiller scheduling using meta-learning and deep reinforcement learning., , , and . BuildSys@SenSys, page 21-30. ACM, (2021)On the Utility of Occupancy Sensing for Managing HVAC Energy in Large Zones., , , , , and . e-Energy, page 219-220. ACM, (2015)Incentive design for demand-response based on building constraints: a utility perspective., , , , and . BuildSys@SenSys, page 29:1-29:10. ACM, (2017)PACMAN: physics-aware control MANager for HVAC., , , and . BuildSys@SenSys, page 11-20. ACM, (2022)One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant., , , , , and . BuildSys@SenSys, page 277-286. ACM, (2019)Good set-points make good neighbors: user seating and temperature control in uberized workspaces., , , , and . BuildSys@SenSys, page 144-147. ACM, (2018)Keep it open, Keep it safe: Maximizing Space Utilization in Intelligent Bio-safe Buildings., , , and . BuildSys@SenSys, page 100-109. ACM, (2020)Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply., , , and . COMAD/CODS, page 332-341. ACM, (2024)MARCO - Multi-Agent Reinforcement learning based COntrol of building HVAC systems., , , and . e-Energy, page 57-67. ACM, (2020)Optimization for Infrastructure Cyber-Physical Systems., , , , , and . CoRR, (2022)