1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Data-driven Acceleration of MPC with Guarantees
Agustin Castellano, Shijie Pan, Enrique Mallada
Model Predictive Control (MPC) is a powerful framework for optimal control but can be too slow for low-latency applications. We present a data-driven framework to accelerate MPC by…
Learning to Act Safely with Limited Exposure and Almost Sure Certainty
Agustin Castellano, Hancheng Min, Juan Bazerque +1
This paper puts forward the concept that learning to take safe actions in unknown environments, even with probability one guarantees, can be achieved without the need for an unboun…
Quadratic approximate dynamic programming for scheduling water resources: a case study
Agustin Castellano, Camila Martínez, Pablo Monzón +3
We address the problem of scheduling water resources in a power system via approximate dynamic programming.To this goal, we model a finite horizon economic dispatch problemwith con…