An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer

An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer

This research presents an optimized system for predicting energy usage in smart grids by integrating the Temporal Fusion Transformer (TFT) with the Aquila Optimizer (AO). The study addresses the growing need for accurate energy consumption forecasts in smart grids, driven by the increasing adoption...

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Bibliographic Details
Main Authors: Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
smart grids
temporal fusion transformer
Aquila optimizer
energy usage prediction
deep learning
nature-inspired optimization
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1542320/full
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https://www.frontiersin.org/articles/10.3389/frai.2025.1542320/full

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