3 citations · 4 across the 13 of their papers we have counts for
6 papers · 1 filter
Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning
Honghui Zheng, Pietro Favaro, Yury Dvorkin +1
Underground pumped hydro energy storage (UPHES) systems play a critical role in grid-scale energy storage for renewable integration, yet optimal day-ahead scheduling remains comput…
Learning Reachability of Energy Storage Arbitrage
Tomás Tapia, Agustin Castellano, Enrique Mallada +1
Power systems face increasing weather-driven variability and, therefore, increasingly rely on flexible but energy-limited storage resources. Energy storage can buffer this variabil…
Generation Expansion Planning with Upstream Supply Chain Constraints on Materials, Manufacturing, and Deployment
Boyu Yao, Andrey Bernstein, Yury Dvorkin
Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often o…
Unlocking Transmission Flexibility under Uncertainty: Getting Dynamic Line Ratings into Electricity Markets
Zhiyi Zhou, Christoph Graf, Yury Dvorkin
Static transmission line ratings may lead to underutilization of line capacity due to overly conservative assumptions. Grid-enhancing technologies (GETs) such as dynamic line ratin…
Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
Pietro Favaro, Jean-François Toubeau, François Vallée +1
Heating, Ventilation, and Air Conditioning (HVAC) is a major electricity end-use with a substantial potential for providing grid services, such as demand response. Harnessing this…
Decision-Focused Learning for Complex System Identification: HVAC Management System Application
Pietro Favaro, Jean-François Toubeau, François Vallée +1
As opposed to conventional training methods tailored to minimize a given statistical metric or task-agnostic loss (e.g., mean squared error), Decision-Focused Learning (DFL) trains…