9 citations · 14 across the 3 of their papers we have counts for
4 papers
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…
Improving Supervised Phase Identification Through the Theory of Information Losses
Brandon Foggo, Nanpeng Yu
This paper considers the problem of Phase Identification in power distribution systems. In particular, it focuses on improving supervised learning accuracies by focusing on exploit…
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…