Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells

Neural Network-Based Active Cooling System With IoT Monitoring and Control for LCPV Silicon Solar Cells

One of the methods of increasing output power of solar cells is increasing the concentration ratio using lenses and mirrors. Due to the temperature increase of silicon solar cells with concentrating lenses the system must be provided with an active cooling system. PV systems cooled with active or pa...

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Bibliographic Details
Main Authors: Gulbakhar Dosymbetova, Saad Mekhilef, Sayat Orynbassar, Ainur Kapparova, Ahmet Saymbetov, Madiyar Nurgaliyev, Batyrbek Zholamanov, Nurzhigit Kuttybay, Sergey Manakov, Yeldos Svanbayev, Nursultan Koshkarbay
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
IoT monitoring and control
neural networks
Bi-LSTM
XGBoost
LCPV silicon solar cells
active cooling system
Online Access:https://ieeexplore.ieee.org/document/10136707/

Internet

https://ieeexplore.ieee.org/document/10136707/

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