Prediction Model for the Performance of Different PV Modules Using Artificial Neural Networks

• Main Authors: Mahmoud Jaber, Ag Sufiyan Abd Hamid, Kamaruzzaman Sopian, Ahmad Fazlizan, Adnan Ibrahim
• Format: Article
• Language: English; English
• Published: MDPI AG, Basel, Switzerland 2022
• Subjects: TK1001-1841 Production of electric energy or power. Powerplants. Central stations
• Online Access: https://eprints.ums.edu.my/id/eprint/34654/1/Abstract.pdf; https://eprints.ums.edu.my/id/eprint/34654/2/Full%20text.pdf; https://eprints.ums.edu.my/id/eprint/34654/; https://www.mdpi.com/2076-3417/12/7/3349/htm; https://doi.org/10.3390/app12073349

This study presents a prediction model for comparing the performance of six different photovoltaic (PV) modules using artificial neural networks (ANNs), with simple inputs for the model. Cell temperature (Tc), irradiance, fill factor (FF), short circuit current (Isc), open-circuit voltage (Voc), max...