Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning

Thermal performance prediction of a V-trough solar water heater with a modified twisted tape using ANFIS, G.L.R., R.T. and SVM models of machine learning

Abstract Four distinct neural models were used to evaluate the efficiency of a V-trough solar water heater (VTSWH) equipped with square-cut twisted tape (SCTT) and V-cut twisted tape (VCTT) at two different twist ratios, 3 and 5. The objective of this study was the use of ANFIS (Adaptive Neuro-Fuzzy...

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Bibliographic Details
Main Authors: A. Saravanan, S. Rama Sree, M. Sreenivasa Reddy, Elumalai PV, Krishnasamy Karthik, Ashok Kumar Cheeli, Nasim Hasan
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Solar water heater
Adaptive neuro-fuzzy inference system
Generalised linear regression
Regression tree
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-75907-y
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