Review of computer-aided numerical simulation in wind energy
A Miller, B Chang, R Issa, G Chen - Renewable and sustainable energy …, 2013 - Elsevier
Many advances have been made during the last decade in the development and application
of computational fluid dynamics (CFD), finite element analysis (FEA), numerical weather …
of computational fluid dynamics (CFD), finite element analysis (FEA), numerical weather …
A deep asymmetric Laplace neural network for deterministic and probabilistic wind power forecasting
Accurate forecasting of wind power faces two challenges: 1) extracting more effective
information on power fluctuations from limited input features, and 2) constructing a suitable …
information on power fluctuations from limited input features, and 2) constructing a suitable …
Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic-support vector regression machine
Wind power is fluctuant and intermittent, which has an impact on the power grid. Large-scale
wind power is a serious threat to the stability and security of the power system. Accurate …
wind power is a serious threat to the stability and security of the power system. Accurate …
Bridging the transition from mesoscale to microscale turbulence in numerical weather prediction models
D Muñoz-Esparza, B Kosović, J Mirocha… - Boundary-layer …, 2014 - Springer
With a focus towards developing multiscale capabilities in numerical weather prediction
models, the specific problem of the transition from the mesoscale to the microscale is …
models, the specific problem of the transition from the mesoscale to the microscale is …
[HTML][HTML] Short-term prediction of wind power based on phase space reconstruction and BiLSTM
H Ying, C Deng, Z Xu, H Huang, W Deng, Q Yang - Energy Reports, 2023 - Elsevier
Aiming at the chaotic characteristics of wind power sequence and combined with
meteorological information, a short-term prediction method of wind power based on phase …
meteorological information, a short-term prediction method of wind power based on phase …
[HTML][HTML] On bridging a modeling scale gap: Mesoscale to microscale coupling for wind energy
Accurately representing flow across the mesoscale to the microscale is a persistent
roadblock for completing realistic microscale simulations. The science challenges that must …
roadblock for completing realistic microscale simulations. The science challenges that must …
Ultra-short-term/short-term wind speed prediction based on improved singular spectrum analysis
Q Yang, C Deng, X Chang - Renewable Energy, 2022 - Elsevier
Aiming at the problem that the wind speed data collected by wind farms are affected by
many factors and easy to introduce noise information, a wind speed prediction method …
many factors and easy to introduce noise information, a wind speed prediction method …
Physics-informed deep learning for data-driven solutions of computational fluid dynamics
S Choi, I Jung, H Kim, J Na, JM Lee - Korean Journal of Chemical …, 2022 - Springer
Computational fluid dynamics (CFD) is an essential tool for solving engineering problems
that involve fluid dynamics. Especially in chemical engineering, fluid motion usually has …
that involve fluid dynamics. Especially in chemical engineering, fluid motion usually has …
Resolved turbulence characteristics in large-eddy simulations nested within mesoscale simulations using the Weather Research and Forecasting Model
One-way concurrent nesting within the Weather Research and Forecasting Model (WRF) is
examined for conducting large-eddy simulations (LES) nested within mesoscale simulations …
examined for conducting large-eddy simulations (LES) nested within mesoscale simulations …
[HTML][HTML] Modeling dynamic wind direction changes in large eddy simulations of wind farms
A Stieren, SN Gadde, RJAM Stevens - Renewable Energy, 2021 - Elsevier
The wind direction in atmospheric boundary layers changes continuously due to meso-scale
weather phenomena. Developing accurate simulations of these changes is essential for …
weather phenomena. Developing accurate simulations of these changes is essential for …