Data-driven prediction and optimization in building energy consumption
The data records for building energy consumption of Seattle City in 2015 and 2016 are obtained from the annual data reports and used as the datasets in data-driven prediction and optimization models’ development for energy efficiency evaluation and enhancement. A gradient boosting regression approac...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/154453 |