Optimizing photovoltaic output performance prediction: a deep learning approach with LSTM neural networks and Adam optimizer / Syasya Nadhirah Hamedon, Juliana Johari and Fazlina Ahmat Ruslan

• Main Authors: Hamedon, Syasya Nadhirah, Johari, Juliana, Ahmat Ruslan, Fazlina
• Format: Article
• Language: English
• Published: UiTM Press 2024
• Subjects: Photoelectronic devices (General)
• Online Access: https://ir.uitm.edu.my/id/eprint/105786/1/105786.pdf; https://ir.uitm.edu.my/id/eprint/105786/

This study introduces an innovative approach to optimizing photovoltaic (PV) output performance prediction through Deep Learning, specifically employing Long Short-Term Memory (LSTM) networks and the Adaptive Moment Estimation (Adam) optimizer. The research is carried out using MATLAB R2023a, and th...