Surrogate modeling for long-term and high-resolution prediction of building thermal load with a metric-optimized KNN algorithm
During the pre-design stage of buildings, reliable long-term prediction of thermal loads is significant for cooling/heating system configuration and efficient operation. This paper proposes a surrogate modeling method to predict all-year hourly cooling/heating loads in high resolution for retail, ho...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-12-01
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Series: | Energy and Built Environment |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666123322000447 |