Surrogate modeling for long-term and high-resolution prediction of building thermal load with a metric-optimized KNN algorithm

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...

Full description

Bibliographic Details
Main Authors: Yumin Liang, Yiqun Pan, Xiaolei Yuan, Wenqi Jia, Zhizhong Huang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-12-01
Series:Energy and Built Environment
Subjects:
Thermal load prediction
Surrogate modeling
Pre-design
K-nearest-neighbors
Manhattan distance
Online Access:http://www.sciencedirect.com/science/article/pii/S2666123322000447

Similar Items

Similar Items