Utkarsha Agwan

According to our database, Utkarsha Agwan authored at least 14 papers between 2020 and 2023.

Collaborative distances:

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

2023

Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation.

Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya

CoRR, 2023

2022

Machine Learning for Smart and Energy-Efficient Buildings.

Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos

CoRR, 2022

Optimizing participation of buildings and aggregations in incentive-based demand response programs: poster abstract.

Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla

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

Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks.

Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs.

Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos

CoRR, 2021

Asset Participation and Aggregation in Incentive-Based Demand Response Programs.

Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla

Proceedings of the IEEE International Conference on Communications, 2021

Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs.

Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos

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

Offline-online reinforcement learning for generalizing demand response price-setting to energy systems.

Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos

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

Optimal Composition of Prosumer Aggregations.

Utkarsha Agwan, Kameshwar Poolla, Costas J. Spanos

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response.

Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control.

William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Pricing in Prosumer Aggregations using Reinforcement Learning.

Utkarsha Agwan, Lucas Spangher, William F. Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Marginal Value of Mobile Energy Storage in Power Network.

Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Selling Renewable Utilization Service to Consumers via Cloud Energy Storage.

Yu Yang, Utkarsha Agwan, Guoqiang Hu, Costas J. Spanos

CoRR, 2020