140 citations · 163 across the 6 of their papers we have counts for
6 papers
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…
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…
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration
Zuzhao Ye, Yuanqi Gao, Nanpeng Yu
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV charging stations. To maximize the profitability of charging stations, intelligent control…
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks
Yuanqi Gao, Wei Wang, Nanpeng Yu
Volt-VAR control (VVC) is a critical application in active distribution network management system to reduce network losses and improve voltage profile. To remove dependency on inac…
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration
Yuanqi Gao, Wei Wang, Jie Shi +1
Dynamic distribution network reconfiguration (DNR) algorithms perform hourly status changes of remotely controllable switches to improve distribution system performance. The proble…
Information Losses in Neural Classifiers from Sampling
Brandon Foggo, Nanpeng Yu, Jie Shi +1
This paper considers the subject of information losses arising from the finite datasets used in the training of neural classifiers. It proves a relationship between such losses as…