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Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods

author
statement of authorship
Helena Kuivjõgi, Sofia Vasman, Eduard Petlenkov, Martin Thalfeldt, Jarek Kurnitski
source
publisher
journal volume number month
vol. 98
year of publication
pages
art. 111016
url
ISSN
2352-7102
notes
Bibliogr.: 50 ref
scientific publication
teaduspublikatsioon
language
inglise
subject term
keyword
energy use baseline
heating energy use
electricity energy use
commercial buildings
degree-days
data-driven
metered data
energy use prediction
machine learning (ML)
seasonal differentiations
classifier
1.1
Scopus
scopus
Kuivjõgi, H., Vasman, S., Petlenkov, E., Thalfeldt, M., Kurnitski, J. Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods // Journal of building engineering (2024) vol. 98, art. 111016. https://doi.org/10.1016/j.jobe.2024.111016