Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/237359
DC Field | Value | |
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dc.title | Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned | |
dc.contributor.author | Miller, Clayton Carl | |
dc.contributor.author | Hao, Liu | |
dc.contributor.author | Fu, Chun | |
dc.date.accessioned | 2023-02-21T03:31:40Z | |
dc.date.available | 2023-02-21T03:31:40Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Miller, Clayton Carl, Hao, Liu, Fu, Chun (2022). Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. ASHRAE Annual Conference 2022. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/237359 | |
dc.source | Elements | |
dc.type | Conference Paper | |
dc.date.updated | 2023-02-21T01:36:55Z | |
dc.contributor.department | THE BUILT ENVIRONMENT | |
dc.description.sourcetitle | ASHRAE Annual Conference 2022 | |
dc.published.state | Accepted | |
Appears in Collections: | Staff Publications Elements |
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4faf38dc-5a70-487e-9154-11e40edb2b6e.pdf | Accepted version | 476.5 kB | Adobe PDF | OPEN | None | View/Download |
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