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ORCIDUtkarsha Agwan
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Conference and Workshop Papers
- 2022
[c10]Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya:
Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks. CDC 2022: 6364-6370- [c9]Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla:
Optimizing participation of buildings and aggregations in incentive-based demand response programs: poster abstract. BuildSys@SenSys 2022: 278-279 - 2021
- [c8]Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya:
Marginal Value of Mobile Energy Storage in Power Network. CDC 2021: 4936-4943 - [c7]Utkarsha Agwan, Lucas Spangher, William F. Arnold, Tarang Srivastava, Kameshwar Poolla, Costas J. Spanos:
Pricing in Prosumer Aggregations using Reinforcement Learning. e-Energy 2021: 220-224 - [c6]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: 483-487 - [c5]William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos:
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. e-Energy 2021: 488-492 - [c4]Utkarsha Agwan, Kameshwar Poolla, Costas J. Spanos:
Optimal Composition of Prosumer Aggregations. ISGT-Europe 2021: 1-5 - [c3]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: 131-139 - [c2]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: 220-221 - [c1]Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla:
Asset Participation and Aggregation in Incentive-Based Demand Response Programs. SmartGridComm 2021: 89-94
Informal and Other Publications
- 2023
- [i8]Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya:
Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation. CoRR abs/2303.09704 (2023) - 2022
- [i7]Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla:
Asset Participation and Aggregation in Incentive-Based Demand Response Programs. CoRR abs/2208.11185 (2022) - [i6]Utkarsha Agwan, Junjie Qin, Kameshwar Poolla, Pravin Varaiya:
Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks. CoRR abs/2209.06461 (2022) - [i5]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 abs/2211.14889 (2022) - 2021
- [i4]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 abs/2104.14670 (2021) - [i3]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 abs/2108.06594 (2021) - [i2]William F. Arnold, Tarang Srivastava, Lucas Spangher, Utkarsha Agwan, Costas J. Spanos:
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control. CoRR abs/2111.06025 (2021) - 2020
- [i1]Yu Yang, Utkarsha Agwan, Guoqiang Hu, Costas J. Spanos:
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage. CoRR abs/2012.14650 (2020)
Coauthor Index
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