7 citations · 19 across the 8 of their papers we have counts for
8 papers
Mobile Energy Storage in Power Network: Marginal Value and Optimal Operation
Utkarsha Agwan, Junjie Qin, Kameshwar Poolla +1
This paper examines the marginal value of mobile energy storage, i.e., energy storage units that can be efficiently relocated to other locations in the power network. In particular…
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan +7
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the U.S., and similar numbers are being reported from countr…
Electric Vehicle Battery Sharing Game for Mobile Energy Storage Provision in Power Networks
Utkarsha Agwan, Junjie Qin, Kameshwar Poolla +1
Electric vehicles (EVs) equipped with a bidirectional charger can provide valuable grid services as mobile energy storage. However, proper financial incentives need to be in place…
Asset Participation and Aggregation in Incentive-Based Demand Response Programs
Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla
In order to manage peak-grid events, utilities run incentive-based demand response (DR) programs in which they offer an incentive to assets who promise to curtail power consumption…
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
William Arnold, Tarang Srivastava, Lucas Spangher +2
Optimizing prices for energy demand response requires a flexible controller with ability to navigate complex environments. We propose a reinforcement learning controller with surpr…
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Doseok Jang, Lucas Spangher, Manan Khattar +3
Our team is proposing to run a full-scale energy demand response experiment in an office building. Although this is an exciting endeavor which will provide value to the community,…
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Doseok Jang, Lucas Spangher, Manan Khattar +2
Our team is proposing to run a full-scale energy demand response experiment in an office building. Although this is an exciting endeavor which will provide value to the community,…
Selling Renewable Utilization Service to Consumers via Cloud Energy Storage
Yu Yang, Utkarsha Agwan, Guoqiang Hu +1
This paper proposes a cloud energy storage (CES) model for enabling local renewable integration of building consumers (BCs). Different from most existing third-party based ES shari…