Predicting thermal efficiency of natural gas boilers using a deep learning ensemble model
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
Published online on December 23, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
The purpose of this study is to develop and validate a high-accuracy and robust prediction model for the thermal efficiency of natural-gas-fired boilers using real plant data. To this end, a novel RNN–CNN stacking ensemble model is proposed, in which ...
The purpose of this study is to develop and validate a high-accuracy and robust prediction model for the thermal efficiency of natural-gas-fired boilers using real plant data. To this end, a novel RNN–CNN stacking ensemble model is proposed, in which ...