Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers-Reference-Cited by-同舟云学术

Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers

Published:2023-08 Issue: Volume:241 Page:110499
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Li Rongmao^ORCID,Kikumoto Hideki^ORCID,Jia Hongyuan,Okaze Tsubasa^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

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5. Field measurement of the urban pedestrian level wind turbulence;Zou;Build. Environ.,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-sensor domain adaptation for data-driven correction of pedestrian level wind measurement in urban environments using cup anemometers;Sustainable Cities and Society;2024-07

2. Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods;Building and Environment;2024-02