140 citations · 183 across the 17 of their papers we have counts for
17 papers
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging
Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu
The timely transportation of goods to customers is an essential component of economic activities. However, heavy-duty diesel trucks used for goods delivery significantly contribute…
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events
Brandon Foggo, Koji Yamashita, Nanpeng Yu
This paper introduces pmuGE (phasor measurement unit Generator of Events), one of the first data-driven generative model for power system event data. We have trained this model on…
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems
Jingtao Qin, Yuanqi Gao, Mikhail Bragin +1
Unit commitment (UC) is a fundamental problem in the day-ahead electricity market, and it is critical to solve UC problems efficiently. Mathematical optimization techniques like dy…
Toward Robust Manufacturing Scheduling: Stochastic Job-Shop Scheduling
Mikhail A. Bragin, Matthew E. Wilhelm, Nanpeng Yu +1
Manufacturing plays a significant role in economic development, production, exports, and job creation, which ultimately contribute to improving the quality of life. The presence of…
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment
Yuanqi Gao, Nanpeng Yu
To facilitate the development of reinforcement learning (RL) based power distribution system Volt-VAR control (VVC), this paper introduces a suite of open-source datasets for RL-ba…
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events -- Part I: Overview and Results
Brandon Foggo, Koji Yamashita, Nanpeng Yu
We present pmuGE (phasor measurement unit Generator of Events), one of the first data-driven generative model for power system event data. We have trained this model on thousands o…