Work

Data-driven calibration of cup anemometer based on field measurements and artificial neural network for wind measurement around buildings

Year: 2022

Type: article

Source: Journal of Wind Engineering and Industrial Aerodynamics

DOI: 10.1016/j.jweia.2022.105239

Authors: Rongmao Li, Hideki Kikumoto

Institutions: The University of Tokyo, Institute of Industrial Science, The University of Tokyo

Language: English

Topic: Wind and Air Flow Studies

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Japan Society for the Promotion of Science

Award: Development of urban wind estimation method based on sparse sensor network

OpenAlex ID: W4309265156

FWCI: 0.505

Cites: 51

Cited by: 11

Related to: 10