Event submissions
Published
This submission belongs to the session S8. AI Applications to Energy Conversion Systems of the event The 3rd International Online Conference on Energies
Published date
07 May, 2026
Academic Editor
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Ramiro BarbosaCitation
Blessed Olalekan Oyebola, Emmanuel S. Babatunde, Optimizing Remaining Useful Life Prediction in Photovoltaic Systems Using AI-Enhanced LSTM Models, in Proceedings of The 3rd International Online Conference on Energies, 12 May–15 May 2026, MDPI: Basel, Switzerland
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Optimizing Remaining Useful Life Prediction in Photovoltaic Systems Using AI-Enhanced LSTM Models
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Blessed Olalekan Oyebola 1,2
Emmanuel S. Babatunde 3
1. Department of Electrical/Electronic Engineering, Lead City University, Ibadan, Nigeria
2. Department of Computer Engineering Technology, Gateway (ICT) Polytechnic Saapade, Ogun State, Nigeria
3. Department of Electrical and Information Engineering, Achievers University, Owo, Nigeria
Abstract
Keywords
Remaining Useful Life
Photovoltaic Systems
LSTM
IoT
Predictive Maintenance
Multi-Criteria Decision Analysis