9 citations · 37 across the 11 of their papers we have counts for
6 papers · 1 filter
Stochastic Search for a Parametric Cost Function Approximation: Energy storage with rolling forecasts
Saeed Ghadimi, Warren B. Powell
Rolling forecasts have been almost overlooked in the renewable energy storage literature. In this paper, we provide a new approach for handling uncertainty not just in the accuracy…
Risk Directed Importance Sampling in Stochastic Dual Dynamic Programming with Hidden Markov Models for Grid Level Energy Storage
Joseph L. Durante, Juliana Nascimento, Warren B. Powell
Power systems that need to integrate renewables at a large scale must account for the high levels of uncertainty introduced by these power sources. This can be accomplished with a…
Reinforcement Learning via Parametric Cost Function Approximation for Multistage Stochastic Programming
Saeed Ghadimi, Raymond T. Perkins, Warren B. Powell
The most common approaches for solving stochastic resource allocation problems in the research literature is to either use value functions ("dynamic programming") or scenario trees…
Recursive Optimization of Convex Risk Measures: Mean-Semideviation Models
Dionysios S. Kalogerias, Warren B. Powell
We develop recursive, data-driven, stochastic subgradient methods for optimizing a new, versatile, and application-driven class of convex risk measures, termed here as mean-semidev…
Stochastic Optimization with Parametric Cost Function Approximations
Raymond T. Perkins, Warren B. Powell
A widely used heuristic for solving stochastic optimization problems is to use a deterministic rolling horizon procedure, which has been modified to handle uncertainty (e.g. buffer…
SDDP vs. ADP: The Effect of Dimensionality in Multistage Stochastic Optimization for Grid Level Energy Storage
Tsvetan Asamov, Daniel F. Salas, Warren B. Powell
There has been widespread interest in the use of grid-level storage to handle the variability from increasing penetrations of wind and solar energy. This problem setting requires o…