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Stability-aware physics--data hybrid framework for multi-height wind-speed extrapolation over complex terrain
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/er.6382openalex-snapshot
The role of the power law exponent in wind energy assessment: A global analysis
inferredcites →https://doi.org/10.1002/qj.49709038404openalex-snapshot
Change of terrain roughness and the wind profile
inferredcites →https://doi.org/10.1007/s00704-022-04247-6openalex-snapshot
Comparison of horizontal wind observed by wind profiler radars with ERA5 reanalysis data in Anhui, China
inferredcites →https://doi.org/10.1007/s10546-007-9166-9openalex-snapshot
On the extension of the wind profile over homogeneous terrain beyond the surface boundary layer
inferredcites →https://doi.org/10.1016/0167-6105(92)90427-copenalex-snapshot
Wind characteristics in the surface layer over heterogeneous terrain
inferredcites →https://doi.org/10.1016/j.apenergy.2015.03.121openalex-snapshot
The Wind Integration National Dataset (WIND) Toolkit
inferredcites →https://doi.org/10.1016/j.apenergy.2018.12.056openalex-snapshot
On wind speed pattern and energy potential in China
inferredcites →https://doi.org/10.1016/j.jclepro.2020.123036openalex-snapshot
Analysis of wind characteristics and wind energy potential in complex mountainous region in southwest China
inferredcites →https://doi.org/10.1016/j.rser.2014.01.033openalex-snapshot
Review on probabilistic forecasting of wind power generation
inferredcites →https://doi.org/10.1016/j.solener.2004.08.024openalex-snapshot
Analysis and parameterisation of wind profiles in the low atmosphere
inferredcites →https://doi.org/10.1016/s0167-6105(99)00122-1openalex-snapshot
Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis
inferredcites →https://doi.org/10.1038/s42254-021-00314-5openalex-snapshot
Physics-informed machine learning
inferredcites →https://doi.org/10.1109/78.650093openalex-snapshot
Bidirectional recurrent neural networks
inferredcites →https://doi.org/10.1109/access.2018.2883677openalex-snapshot
Wind Speed Extrapolation Using Machine Learning Methods and LiDAR Measurements
inferredcites →https://doi.org/10.1126/science.aau2027openalex-snapshot
Grand challenges in the science of wind energy
inferredcites →https://doi.org/10.1198/016214506000001437openalex-snapshot
Strictly Proper Scoring Rules, Prediction, and Estimation
inferredcites →https://doi.org/10.5194/acp-23-3181-2023openalex-snapshot
Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment
inferredcites →https://doi.org/10.5194/acp-24-4047-2024openalex-snapshot
Extending the wind profile beyond the surface layer by combining physical and machine learning approaches
inferredcites →https://doi.org/10.5194/wes-5-489-2020openalex-snapshot
The importance of round-robin validation when assessing machine-learning-based vertical extrapolation of wind speeds
inferredcites →https://doi.org/10.5194/wes-5-959-2020openalex-snapshot
Decreasing wind speed extrapolation error via domain-specific feature extraction and selection
inferredcites →https://doi.org/10.5194/wes-9-1431-2024openalex-snapshot
Machine-learning-based estimate of the wind speed over complex terrain using the long short-term memory (LSTM) recurrent neural network
inferredcites →https://doi.org/10.55599/ejssm.v16i3.80openalex-snapshot
Effects of Heterogeneous Surface Roughness on Boundary Layer Kinematics and Wind Shear
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