Modeling of microbial fuel cell power generation using machine learning-based super learner algorithms

• Published in: Fuel (Guildford) Vol. 349; p. 128646
• Main Authors: Zakir Hossain, S.M., Sultana, Nahid, Haji, Shaker, Talal Mufeez, Shaikha, Esam Janahi, Sara, Adel Ahmed, Noof
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2023
• Subjects: Bayesian algorithm; Boosted regression tree; Electricity generation; Fuel cell; Response surface methodology; Support vector regression; Support vector regression; Bayesian algorithm; Response surface methodology; Electricity generation; Fuel cell; Boosted regression tree

•Bayesian optimization algorithm (BA) was implemented to tune hyperparameters.•Super learner intelligence approaches (BA-SVR; BA-BRT) were developed to predict fuel cell energy.•The performance was compared between the developed and the existing models.•Hybrid BA-SVR outperformed the most recent exi...