Integrating Deep Learning and Energy Management Standards for Enhanced Solar–Hydrogen Systems: A Study Using MobileNetV2, InceptionV3, and ISO 50001:2018

Integrating Deep Learning and Energy Management Standards for Enhanced Solar–Hydrogen Systems: A Study Using MobileNetV2, InceptionV3, and ISO 50001:2018

This study addresses the growing need for effective energy management solutions in university settings, with particular emphasis on solar–hydrogen systems. The study’s purpose is to explore the integration of deep learning models, specifically MobileNetV2 and InceptionV3, in enhancing fault detectio...

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Bibliographic Details
Main Authors: Salaki Reynaldo Joshua, Yang Junghyun, Sanguk Park, Kihyeon Kwon
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Hydrogen
Subjects:
solar–hydrogen systems
energy management
deep learning
MobileNetV2
InceptionV3
ISO 50001:2018
Online Access:https://www.mdpi.com/2673-4141/5/4/43
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