A data-driven approach to estimate flow fields from sparse distributed sensors in negative pressure wards DOI
Lina Hu, Zhijian Liu, Yucheng Sun

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: 281, P. 113212 - 113212

Published: May 22, 2025

Language: Английский

On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics DOI
Shengfeng Xu, Yuanjun Dai, Chang Yan

et al.

Journal of Computational Physics, Journal Year: 2025, Volume and Issue: unknown, P. 113837 - 113837

Published: Feb. 1, 2025

Language: Английский

Citations

3
Innovative sparse data reconstruction approaches for yawed wind turbine wake flow via data-driven and physics-informed machine learning DOI
Zhaohui Luo, Longyan Wang, Yanxia Fu

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

This paper explores innovative approaches for reconstructing the wake flow field of yawed wind turbines from sparse data using data-driven and physics-informed machine learning techniques. The estimation (WFE) integrates neural networks with fundamental fluid dynamics equations, providing robust interpretable predictions. method ensures adherence to essential principles, making it suitable reliable in energy applications. In contrast, (DDML-WFE) leverages techniques such as proper orthogonal decomposition extract significant features, offering computational efficiency reduced reconstruction costs. Both methods demonstrate satisfactory performance instantaneous under conditions. DDML-WFE maintains comparable even measurement resolution increased noise, highlighting its potential real-time turbine control. study employs a limited number points balance collection challenges while capturing characteristics. Future research will focus on optimizing control strategies farms by incorporating multi-scale modules advanced temporal prediction fields.

Language: Английский

Citations

0
Artificial Intelligence for Wind Speed Forecasting: A Review on Multi-Scale Decomposition and Intelligent Fusion Strategies DOI Creative Commons
Hui Liu, Rui Yang

Advances in wind engineering., Journal Year: 2025, Volume and Issue: unknown, P. 100055 - 100055

Published: May 1, 2025

Language: Английский

Citations

0
A data-driven approach to estimate flow fields from sparse distributed sensors in negative pressure wards DOI
Lina Hu, Zhijian Liu, Yucheng Sun

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: 281, P. 113212 - 113212

Published: May 22, 2025

Language: Английский

Citations

0