Selecting an appropriate machine-learning model for perovskite solar cell datasets

Selecting an appropriate machine-learning model for perovskite solar cell datasets

Abstract Utilizing artificial intelligent based algorithms in solving engineering problems is widely spread nowadays. Herein, this study provides a comprehensive and insightful analysis of the application of machine learning (ML) models to complex datasets in the field of solar cell power conversion...

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Bibliographic Details
Main Authors: Mohamed M. Salah, Zahraa Ismail, Sameh Abdellatif
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:Materials for Renewable and Sustainable Energy
Subjects:
Random forest
Gradient boosting
K-nearest neighbors (KNN)
Linear regression (LR)
Hyperparameter tuning
Power conversion efficiency
Online Access:https://doi.org/10.1007/s40243-023-00239-2

Internet

https://doi.org/10.1007/s40243-023-00239-2

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