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Enhancing hourly heat demand prediction through artificial neural networks: A national level case study (2024)

First Author: Zhang M

Attributed to: An Adsorption-Compression Cold Thermal Energy Storage System (ACCESS) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.egyai.2023.100315

Publication URI: http://dx.doi.org/10.1016/j.egyai.2023.100315

Type: Journal Article/Review

Parent Publication: Energy and AI