Forecasting Residential Building Heating Load With An Innovative Gaussian Process Regression Method
Effectively controlling the heating load (HL) in residential buildings is a vital component of energy conservation and sustainability. This abstract presents a new methodology for predicting HL by incorporating Gaussian Process Regression (GPR) and harnessing the power of two groundbreaking optimiza...
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| Published in: | Journal of Applied Science and Engineering Vol. 28; no. 6; pp. 1219 - 1231 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
淡江大學
01.06.2025
Tamkang University Press |
| Subjects: | |
| ISSN: | 2708-9967, 2708-9975 |
| Online Access: | Get full text |
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