Are hybrid approaches combining EKF-UKF and artificial neural networks key to unlocking the full potential of sustainable energy technologies and reducing environmental footprint?

The integration of traditional state estimation techniques like the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) with modern artificial neural networks (ANNs) presents a promising avenue for advancing state estimation in sustainable energy systems. This study explores the potential...

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Bibliographic Details
Published in:	Heliyon
Main Authors:	WeiFang Liang, Mohsen Maesoumi, Ali Basem, Dheyaa J. Jasim, Abbas J. Sultan, Ameer H. Al-Rubaye, Jingyu Zhang
Format:	Article
Language:	English
Published:	Elsevier 2024-09-01
Subjects:	Hybrid state estimation EKF UKF ANNs Renewable energy integration Carbon emissions reduction
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024127776

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