Predicting The Wind Speeds Of Solar-Like Stars
, 2016 Some aspects of stellar magnetic activity such as X-ray emission are relatively easy to observe, while others, such as the geometry of the magnetic field are rather more difficult. Indeed, typically only the large-scale (or low-order) components of the field can be mapped.
Jardine, Moira, See, V., Vidotto, A.
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Evaluation of simple wind power forecasting methods applied to a long-term wind record from Scotland [PDF]
, 2012 We present an analysis of the ability to predict the power output from a nominal wind turbine or wind farm a few hours ahead using only locally available data – either the current and recent wind speed or power output. A third method combines the current
Fruh, Wolf-Gerrit; id_orcid
core
Applicability Evaluation of Wind Turbine Wake Models
南方能源建设[Introduction] The wake effect of wind turbines is an important cause of energy loss in wind farms. The wake study of wind turbines is beneficial to optimization of the turbine arrangement and improvement of the economic efficiency of wind farms. [Method]
Sheng LI +4 more
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Improving multi-modal wind speed prediction of short and medium term with a bi-clustered machine learning method [PDF]
Atmospheric Measurement TechniquesAccurate prediction of wind speed is of great importance for stable and reliable operation of wind farms. However, the single numerical model forecast cannot provide precise wind speed outputs due to the defect of its physical parameterization scheme ...
Y. Zhang +12 more
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Energies, 2018 With the growing penetration of wind power into electric grids, improving wind speed prediction accuracy has become particularly valuable for the exploitation of wind power.
Jujie Wang, Yanfeng Wang, Yaning Li
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Forecasting Short-Term Wind Speed Based on IEWT-LSSVM Model Optimized by Bird Swarm Algorithm
IEEE Access, 2019 Accurate wind speed prediction can improve the utilization efficiency of wind energy effectively. However, the original time series signals of wind speed present nonlinear or non-stationary characteristics, which make wind speed forecasting very ...
Ling Xiang, Zeqi Deng, Aijun Hu
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Introduction to special issue on high speed solar wind streams and geospace interactions (HSS-GI) [PDF]
, 2009 This special issue of the Journal of Atmospheric and Solar-Terrestrial Physics is devoted to research into high speed solar wind streams (HSSs) and their effects on the region of near-Earth space commonly known as ‘geospace’.
Morley, S.K. +7 more
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Joint segmentation of wind speed and direction using a hierarchical model [PDF]
, 2007 The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two time series.
Dobigeon, Nicolas, Tourneret, Jean-Yves
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A design of power prediction algorithm based on health assessment optimized neural network
Journal of Engineering and Applied ScienceWind power prediction holds significant value for the stability of the electrical grid when wind power is connected to the grid. Using neural networks for wind power prediction may have some limitations, such as slow speed and low accuracy.
Xin Xie +6 more
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Performance of different hybrid algorithms for prediction of wind speed behavior
, 2019 This study seeks to provide a new method by proposing three hybrid algorithms. The proposed algorithms include genetic neural network hybrid algorithm, simulated annealing neural network hybrid algorithm, and shuffled frog-leaping neural network hybrid ...
Goli, Alireza +6 more
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