Improving Supervised Phase Identification Through the Theory of Information Losses

4 November 2019

Papers citing "Improving Supervised Phase Identification Through the Theory of Information Losses"

5 / 5 papers shown

Title
Massively Digitized Power Grid: Opportunities and Challenges of Use-inspired AI Le Xie Xiangtian Zheng Yannan Sun Tong Huang Tony Bruton AI4CE 60 19 0 10 May 2022
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method Wenyu Wang N. Yu 18 32 0 17 Feb 2021
Power System Event Identification based on Deep Neural Network with Information Loading Jie Shi Brandon Foggo N. Yu 49 36 0 13 Nov 2020
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks Yuanqi Gao Wei Wang N. Yu 35 124 0 06 Jul 2020
On the Maximum Mutual Information Capacity of Neural Architectures Brandon Foggo Nan Yu TPM 80 3 0 10 Jun 2020