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20172020
most citedBackward Approximate Dynamic Programming with Hidden Semi-Markov Stochastic Models in Energy Storage Optimization

11 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2020★ 1 cited

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…

cs.AI2018★ 2 cited

Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles

Lina Al-Kanj, Juliana Nascimento, Warren B. Powell

Within a decade, almost every major auto company, along with fleet operators such as Uber, have announced plans to put autonomous vehicles on the road. At the same time, electric v…

stat.ML2018★ 6 cited

Reinforcement Learning for Dynamic Bidding in Truckload Markets: an Application to Large-Scale Fleet Management with Advance Commitments

Yingfei Wang, Juliana Martins Do Nascimento, Warren Powell

Truckload brokerages, a $100 billion/year industry in the U.S., plays the critical role of matching shippers with carriers, often to move loads several days into the future. Broker…

math.OC2017★ 11 cited

Backward Approximate Dynamic Programming with Hidden Semi-Markov Stochastic Models in Energy Storage Optimization

Joseph L. Durante, Juliana Nascimento, Warren B. Powell

We consider an energy storage problem involving a wind farm with a forecasted power output, a stochastic load, an energy storage device, and a connection to the larger power grid w…