VoltGNN: A graph neural network for autonomous renewable energy redistribution in IoT-driven smart grids

Abderaouf Bahi

doi:10.1016/j.egyai.2026.100841

VoltGNN: A graph neural network for autonomous renewable energy redistribution in IoT-driven smart grids

2026-07-11

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OA

AI

A

Abderaouf Bahi *

A

Amel Ourici

H

Hasan Dınçer

S

Serhat Yüksel

A

Amira Lakhdara

A

Akila Djebbar

M

M. Trari

DOI：10.1016/j.egyai.2026.100841

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Abstract

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• Introduces VoltGNN for autonomous renewable energy distribution. • Combines GAT, TGN, and transformer-based policy generation. • Optimizes renewable utilization, latency, and grid stability jointly. • Validated on multiple datasets and simulation environments.

Keywords:

Graph neural networks

Renewable energy

Internet of things

Dynamic graph representation

Spatio-temporal dependency

Distribution policy

VoltGNN: A graph neural network for autonomous renewable energy redistribution in IoT-driven smart grids

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