English
Related papers

Related papers: A simple method to downscale daily wind statistics…

200 papers

Accurate wind speed and direction forecasting is paramount across many sectors, spanning agriculture, renewable energy generation, and bushfire management. However, conventional forecasting models encounter significant challenges in…

Machine Learning · Computer Science 2024-07-31 Fuling Chen , Kevin Vinsen , Arthur Filoche

Stochastic wind sea is an intermediate small-scale physical process responsible for the state of the atmospheric boundary layer and the water upper layer, having dynamics of all scales. To describe behavior of this system, one could use the…

Atmospheric and Oceanic Physics · Physics 2010-09-13 Vladislav Polnikov

The increasing sophistication of wind turbine design and control generates a need for high-quality data. Therefore, the relatively limited set of measured wind data may be extended with computer-generated surrogate data, e.g. to make…

Signal Processing · Electrical Eng. & Systems 2021-03-02 D. D'Ambrosio , J. Schoukens , T. De Troyer , M. Zivanovic , M. C. Runacres

This study presents a hybrid neural network model for short-term (1-6 hours ahead) surface wind speed forecasting, combining Numerical Weather Prediction (NWP) with observational data from ground weather stations. It relies on the MeteoNet…

Atmospheric and Oceanic Physics · Physics 2025-11-21 Roberta Baggio , Killian Pujol , Florian Pantillon , Dominique Lambert , Jean-Baptiste Filippi , Jean-François Muzy

The European energy system will undergo major transformations in the coming decades to implement mitigation measures and comply with the Paris Agreement. In particular, the share of weather-dependent wind generation will increase…

Atmospheric and Oceanic Physics · Physics 2023-11-23 Bastien Cozian , Corentin Herbert , Freddy Bouchet

Stellar winds from active solar type stars can play a crucial role in removal of stellar angular momentum and erosion of planetary atmospheres. However, major wind properties except for mass loss rates cannot be directly derived from…

Solar and Stellar Astrophysics · Physics 2016-02-17 Vladimir S. Airapetian , Arcadi V. Usmanov

Wind energy has significant potential owing to the continuous growth of wind power and advancements in technology. However, the evolution of wind speed is influenced by the complex interaction of multiple factors, making it highly variable.…

Applications · Statistics 2025-07-09 Yijun Geng , Jianzhou Wang , Jinze Li , Zhiwu Li

Real-time high-resolution wind predictions are beneficial for various applications including safe manned and unmanned aviation. Current weather models require too much compute and lack the necessary predictive capabilities as they are valid…

As an important clean and renewable kind of energy, wind power plays an important role in coping with energy crisis and environmental pollution. However, the volatility and intermittency of wind speed restrict the development of wind power.…

Machine Learning · Computer Science 2024-04-23 Haojian Huang

We compare the available wind resources for conventional wind turbines and for airborne wind energy systems. Accessing higher altitudes and dynamically adjusting the harvesting operation to the wind resource substantially increases the…

Atmospheric and Oceanic Physics · Physics 2019-03-13 Philip Bechtle , Mark Schelbergen , Roland Schmehl , Udo Zillmann , Simon Watson

The solar wind which arrives at any location in the solar system is, in principle, relatable to the outflow of solar plasma from a single source location. This source location, itself usually being part of a larger coronal hole, is…

Solar and Stellar Astrophysics · Physics 2023-09-19 D. E. da Silva , S. Wallace , C. N. Arge , S. Jones

This paper describes a flexible approach to short term prediction of meteorological variables. In particular, we focus on the prediction of the solar irradiance one hour ahead, a task that has high practical value when optimizing solar…

Neural and Evolutionary Computing · Computer Science 2019-11-06 Pierrick Bruneau , Philippe Pinheiro , Yoann Didry

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is…

Machine Learning · Computer Science 2024-01-17 Mulomba Mukendi Christian , Yun Seon Kim , Hyebong Choi , Jaeyoung Lee , SongHee You

Background. This paper study statistical data gathered from wind turbines located on the territory of the Republic of Poland. The research is aimed to construct the stochastic model that predicts the change of wind speed with time. Purpose.…

Computational Engineering, Finance, and Science · Computer Science 2017-11-15 M. N. Gevorkyan , A. V. Demidova , Robert A. Sobolewski , I. S. Zaryadov , A. V. Korolkova , D. S. Kulyabov , L. A. Sevastianov

A methodology is developed, based on nonparametric Bayesian dictionary learning, for joint space-time wind field data extrapolation and estimation of related statistics by relying on limited/incomplete measurements. Specifically, utilizing…

Machine Learning · Statistics 2025-07-16 George D. Pasparakis , Ioannis A. Kougioumtzoglou , Michael D. Shields

Recent research shows that the surface wave energy dissipation, which is the vertical energy flux across the air-sea interface, can be calculated as the product of air density, reference wind speed cubed and an energy transfer coefficient…

Atmospheric and Oceanic Physics · Physics 2019-06-24 Paul A. Hwang

We generate a model description of the solar wind based on an explicit wave-turbulence-driven heating mechanism, and constrain our model with observational data. We included an explicit coronal heating source term in the general 3D…

Solar and Stellar Astrophysics · Physics 2023-03-29 Simon Schleich , Sudeshna Boro Saikia , Udo Ziegler , Manuel Güdel , Michael Bartel

Wind speed at sea surface is a key quantity for a variety of scientific applications and human activities. Due to the non-linearity of the phenomenon, a complete description of such variable is made infeasible on both the small scale and…

Machine Learning · Computer Science 2024-10-28 Matteo Zambra , Nicolas Farrugia , Dorian Cazau , Alexandre Gensse , Ronan Fablet

High-speed solar wind streams emanating from coronal holes are frequently impinging on the Earth's magnetosphere causing recurrent, medium-level geomagnetic storm activity. Modeling high-speed solar wind streams is thus an essential element…

This work focuses on the validation of the dynamic wake meandering (DWM) model against large eddy simulation (LES). The wake deficit, mean deflection, and meandering under different wind turbine misalignment angles in yaw and tilt, for the…

Fluid Dynamics · Physics 2023-08-03 Irene Rivera-Arreba , Zhaobin Li , Xiaolei Yang , Erin E. Bachynski-Polić