Using Machine Learning to Predict the Daylight Performance of Top-Lighting Strategies

AuthID
 P-013-D9S
4
Author(s)
Taube B.
·
Green V.
·
Santos L.
·
Document Type
Proceedings Paper
Year published
2020
Published
in PLEA 2020 - 35th PLEA Conference on Passive and Low Energy Architecture Planning Post Carbon Cities, Proceedings
Volume: 1, Pages: 364-369 (5)
Indexing
Scopus®
Publication Identifiers
Scopus: 2-s2.0-85185216178
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