Prediction of sorption enhanced steam methane reforming products from machine learning based soft-sensor models (2020)

First Author: Nkulikiyinka P
Attributed to:  Using Artificial Intelligence to control the production of H2 funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.egyai.2020.100037

Publication URI: http://dx.doi.org/10.1016/j.egyai.2020.100037

Type: Journal Article/Review

Parent Publication: Energy and AI