Modeling the performance of a sorption thermal energy storage reactor using artificial neural networks (2019)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.apenergy.2019.113525
Publication URI: http://dx.doi.org/10.1016/j.apenergy.2019.113525
Type: Journal Article/Review
Parent Publication: Applied Energy
ISSN: 03062619