Multi-modal multi-task artificial intelligence model for active distribution network scheduling with multi-agent reinforcement learning

Razzaqul Ahshan

doi:10.1016/j.epsr.2025.112091

2025-08-29

PRE

Razzaqul Ahshan *

Md. Shadman Abid

Mohammed Al‐Abri

DOI：10.1016/j.epsr.2025.112091

原文链接

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摘要

En 中文

• 提出了一种用于ADN调度的多模态多任务AI框架。 • 将电网状态和太阳能电池板图像数据作为实时输入。 • 混合CNN-ViT编码器实现了用于污垢估计的实时图像回归。 • 所提出的框架在大型2289节点Nizwa网络上得到了验证。

Keyword:

Deep learning

Multi-modal framework

Renewable energy

Reinforcement learning

Artificial intelligence

期刊

Electric Power Systems Research

IF:

4.2

论文数:

1.2W

被引数:

2.2W

机构

sultan qaboos university

学者数:

5.0K

论文数: 4.1K

被引数: 6

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