Hybrid AI and semiconductor approaches for power quality improvement

Hybrid AI and semiconductor approaches for power quality improvement

Abstract This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. The research addresses key power quality challenges - including voltage sags, swells, harmonics,...

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Bibliographic Details
Main Authors: Ravikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, Tae Hoon Kim, Sivarama Prasad Tera, Shafiq Ahmad
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Electric Power Quality
Semiconductor Devices
Machine Learning (ML)
Deep Learning (DL)
Hybrid Control Systems
Voltage Sags and Swells
Online Access:https://doi.org/10.1038/s41598-025-11116-5
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https://doi.org/10.1038/s41598-025-11116-5

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