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A machine-learning-based approach to predict residential annual space heating and cooling loads considering occupant behaviour (2020)

First Author: Li X

Attributed to: Low carbon climate-responsive Heating and Cooling of Cities (LoHCool) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.energy.2020.118676

Publication URI: http://dx.doi.org/10.1016/j.energy.2020.118676

Type: Journal Article/Review

Parent Publication: Energy