Prediction of CO2 capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines
•Machine learning was formulated using plant data obtained from a 1,000-hour operation.•Three DNN pipelines were developed to predict performances of the CO2 capture.•L-DLP showed the optimal performance in terms of accuracy and computational cost.•Result is useful for predicting the CO2 capability...
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Veröffentlicht in: | Fuel (Guildford) 2022-05, Vol.315, p.123229, Article 123229 |
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Sprache: | eng |
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