IEEE

Uncertainty-Aware Voltage Control for Distribution Substations Based on Bayesian Deep Learning and Probabilistic Graph Self-Encoder Fusion

Abstract: Voltage control in low-observable distribution networks faces significant uncertainty challenges. In this paper, an uncertainty-aware voltage control method based on the fusion of Bayesian ...
IEEE

Autonomous Voltage Regulation for Smart Distribution Network With High-Proportion PVs:A Graph Meta-Reinforcement Learning Approach

Abstract: Smart distribution grids with a high percentage of distributed photovoltaic (PV) systems often face severe voltage quality problems. Deep Reinforcement Learning (DRL) presents great ...
Hosted on MSN

Creating animated graphs using VPython Glowscript for visualizations

Explore the power of interactive physics visualizations with animated graphs using VPython and GlowScript for dynamic simulations! This guide demonstrates how to create real-time animated graphs that ...
Hosted on MSN

Python physics lesson 3: Exploring graphs and core concepts

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...