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Development of machine-learning models to determine the power of natural gas/hydrogen spark ignition engines

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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 study develops a set of machine learning models for predicting the power output of a spark ignition engine operating on natural gas enriched with hydrogen. The input variables considered in the modeling framework include the hydrogen blending ratio (%...