A hybrid machine learning approach for improving fuel temperature prediction of research reactors under mix convection regime

• Main Authors: Riyono, Bambang, Pulungan, Reza, Dharmawan, Andi, Antariksawan, Anhar Riza
• Format: Article PeerReviewed
• Language: English
• Published: Elsevier 2022
• Subjects: Information and Computing Sciences; Mathematics and Applied Sciences
• Online Access: https://repository.ugm.ac.id/278595/1/Pulungan_MA.pdf; https://repository.ugm.ac.id/278595/; https://www.sciencedirect.com/journal/results-in-engineering; https://doi.org/10.1016/j.rineng.2022.100612
• Institution: Universitas Gadjah Mada

Benchmarking results from experiments on research reactors showed that power reactors’ mathematical model produced conservative results in predicting the maximum cladding temperature on hot channels, with the mean difference showing overestimation. This overestimation is an accuracy issue arising fr...