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Utkarsha Agwan
Utkarsha Agwan
Electrical Engineering and Computer Sciences, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Augmenting Reinforcement Learning with a Planning Model for Optimizing Energy Demand Response
L Spangher, A Gokul, M Khattar, J Palakapilly, U Agwan, A Tawade, ...
Proceedings of the 1st International Workshop on Reinforcement Learning for …, 2020
152020
Offline-online reinforcement learning for energy pricing in office demand response: lowering energy and data costs
D Jang, L Spangher, T Srivistava, M Khattar, U Agwan, S Nadarajah, ...
Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021
142021
Pricing in Prosumer Aggregations using Reinforcement Learning
U Agwan, L Spangher, W Arnold, T Srivastava, K Poolla, CJ Spanos
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
122021
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
D Jang, L Spangher, M Khattar, U Agwan, C Spanos
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
92021
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
W Arnold, T Srivastava, L Spangher, U Agwan, C Spanos
Proceedings of the Twelfth ACM International Conference on Future Energy …, 2021
82021
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage
Y Yang, U Agwan, G Hu, CJ Spanos
arXiv preprint arXiv:2012.14650, 2020
82020
OfficeLearn: An OpenAI Gym Environment for Reinforcement Learning on Occupant-Level Building’s Energy Demand Response
L Spangher, A Gokul, J Palakapilly, U Agwan, M Khattar, WJ Ma, ...
Tackling Climate Change with Artificial Intelligence Workshop at NeurIPS, 2020
72020
Machine learning for smart and energy-efficient buildings
HP Das, YW Lin, U Agwan, L Spangher, A Devonport, Y Yang, J Drgoňa, ...
Environmental Data Science 3, e1, 2024
52024
Marginal Value of Mobile Energy Storage in Power Network
U Agwan, J Qin, K Poolla, P Varaiya
2021 60th IEEE Conference on Decision and Control (CDC), 4936-4943, 2021
52021
Asset Participation and Aggregation in Incentive-Based Demand Response Programs
U Agwan, CJ Spanos, K Poolla
2021 IEEE International Conference on Communications, Control, and Computing …, 2021
42021
Optimal Composition of Prosumer Aggregations
U Agwan, K Poolla, CJ Spanos
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 1-5, 2021
32021
Optimal Prosumer Aggregations: Design and Modeling
U Agwan
32020
Optimal Prosumer Aggregations: Design and Modeling.(2020)
U Agwan
32020
Optimizing participation of buildings and aggregations in incentive-based demand response programs
U Agwan, CJ Spanos, K Poolla
Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022
22022
Time Varying Marginal Emissions Intensity of Energy Consumption: Implications for Flexible Loads
U Agwan, S Bobick, S Rangan, K Poolla, CJ Spanos
Findings, 2023
12023
Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation
U Agwan, J Qin, K Poolla, P Varaiya
arXiv preprint arXiv:2303.09704, 2023
12023
Electric vehicle battery sharing game for mobile energy storage provision in power networks
U Agwan, J Qin, K Poolla, P Varaiya
2022 IEEE 61st Conference on Decision and Control (CDC), 6364-6370, 2022
12022
Integrating digital building flexibility through sub-aggregator business model
K Maki, M Aro, U Agwan, HP Das, YW Lin, C Spanos
27th International Conference on Electricity Distribution (CIRED 2023) 2023 …, 2023
2023
Evaluating and Optimizing Distributed Energy Resources
U Agwan
University of California, Berkeley, 2023
2023
Machine Learning for Smart and Energy-Efficient Buildings
H Prasanna Das, YW Lin, U Agwan, L Spangher, A Devonport, Y Yang, ...
arXiv e-prints, arXiv: 2211.14889, 2022
2022
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Articles 1–20