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Intelligent prediction of solar air heater performance using hybrid XGBoost-multi-layer perceptron machine learning framework

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Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
This investigation presents a innovative hybrid machine learning framework combining Extreme Gradient Boosting (XGBoost) and Multi-Layer Perceptron (MLP) neural networks for accurately predicting the thermo-hydraulic performance of roughened solar air ...