Utkarsha Agwan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Top Venues

BuildSys@SenSys

Publications

Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya
Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation. CoRR (2023)
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgona, Adrian Chong, Stefano Schiavon, Costas J. Spanos
Machine Learning for Smart and Energy-Efficient Buildings. CoRR (2022)
Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla
Asset Participation and Aggregation in Incentive-Based Demand Response Programs. CoRR (2022)
Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya
Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks. CoRR (2022)
Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya
Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks. CDC (2022)
Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla
Optimizing participation of buildings and aggregations in incentive-based demand response programs: poster abstract. BuildSys@SenSys (2022)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. e-Energy (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
Offline-online reinforcement learning for generalizing demand response price-setting to energy systems. BuildSys@SenSys (2021)
Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya
Marginal Value of Mobile Energy Storage in Power Network. CDC (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Selvaprabuh Nadarajah, Costas J. Spanos
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs. CoRR (2021)
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas J. Spanos
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response. CoRR (2021)
William Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. CoRR (2021)
Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla
Asset Participation and Aggregation in Incentive-Based Demand Response Programs. SmartGridComm (2021)
Utkarsha Agwan, Kameshwar Poolla, Costas J. Spanos
Optimal Composition of Prosumer Aggregations. ISGT-Europe (2021)
Utkarsha Agwan, Lucas Spangher, William Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos
Pricing in Prosumer Aggregations using Reinforcement Learning. e-Energy (2021)
William Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. e-Energy (2021)
Doseok Jang, Lucas Spangher, Tarang Srivastava, Manan Khattar, Utkarsha Agwan, Selvaprabu Nadarajah, Costas J. Spanos
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs. BuildSys@SenSys (2021)
Yu Yang, Utkarsha Agwan, Guoqiang Hu, Costas J. Spanos
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage. CoRR (2020)