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Journal: Appl. Sci., 2024
Volume: 14
Number: 8573

Article: A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting
Authors: by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park and Kihyeon Kwon
Link: https://www.mdpi.com/2076-3417/14/18/8573

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