Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Conference paper

AeroFormer: Lightweight Autoencoder-Augmented Transformer for High-Accuracy Electricity Load Forecasting

Masoud Kargar; Sondos Ardebili; Shahin Sharbaf Movassagpour

Published
Publisher
IEEE
Journal / collection
2026 International Conference on Protection and Automation of Power Systems (IPAPS)
Research area
Energy & infrastructure
Source type
Conference paper
DOI
10.1109/ipaps69408.2026.11499545

Read the original source ↗

The original publisher provides the full text and its access options.

Cite this source

Masoud Kargar; Sondos Ardebili; Shahin Sharbaf Movassagpour. AeroFormer: Lightweight Autoencoder-Augmented Transformer for High-Accuracy Electricity Load Forecasting. 2026 International Conference on Protection and Automation of Power Systems (IPAPS). 2026-01-06. https://doi.org/10.1109/ipaps69408.2026.11499545

Download RIS