Graph reinforcement learning with auxiliary temporal-graph convolutional neural network for unit commitment

Wentian Lu

doi:10.1016/j.ijepes.2026.111708

Graph reinforcement learning with auxiliary temporal-graph convolutional neural network for unit commitment

2026-02-23

0

OA

AI

DOI：10.1016/j.ijepes.2026.111708

Original

Save

View PDF

Abstract

En 中文

• Considered power grid topology to capture its physical spatial patterns. • Applied graph reinforcement learning for decision-making under incomplete info. • Developed a priority list-based startup/shutdown module meeting constraints. • Integrated TCN and GCN for unit commitment optimization.

Keywords:

Unit commitment

Graph reinforcement learning

Graph convolutional neural network

Temporal convolutional network

Power system

Graph reinforcement learning with auxiliary temporal-graph convolutional neural network for unit commitment

Abstract

AI Summary

Journal

Organization