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Prediction uncertainty of wind-generated noise spectra from wind speed

The Journal of the Acoustical Society of America, 2021
The prediction of wind-generated noise spectral levels at one frequency is typically based on a linear regression function, which is defined over the logarithm of the 10-m wind speed. However, despite its widespread success, the linear regression model does not pay attention to its prediction uncertainty because it makes point predictions.
Ying, Zhang, Qiulong, Yang, Kunde, Yang
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Predictability of wind speed patterns

Renewable Energy, 1994
Abstract Theoretical work done earlier by the author shows that variations in all the basic meteorological parameters are generally represented by expressions having only a particular mathematical formulation. We report in this paper that this theoretical conclusion has been found to apply quite well to observed wind speed variations.
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Wind Speed Prediction with Genetic Algorithm

2017
Nowadays trends pay attention to used renewable energy sources, e.g. wind – wind energy or sun irradiance – solar energy, as a source of electrical power. This kind of energy sources are very unstable and inconstancy (nonstationary) over the time. The proper and accurate wind speed or sun irradiance prediction is necessary to control the power grid ...
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Prediction of Non-Synoptic Wind Speeds

2020
Abstract Winds generated from non-synoptic events cause significant losses globally. This chapter focuses specifically on winds generated from thunderstorms. Thunderstorm-generated winds produce the highest recorded wind speeds in many worldwide locations, which makes them important for the design of structures.
Franklin T. Lombardo   +1 more
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Wind speed prediction

Applied and Computational Engineering
With the help of wind farms, wind energy is a vital renewable energy source that contributes significantly to the world’s energy balance. The lifespan and maintenance costs of wind turbines will be reduced with an accurate wind speed prediction. On the other hand, wind speed is highly volatile and unpredictable.
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Wind speed prediction in a complex terrain

Environmetrics, 2001
AbstractWe present a novel method for analysing spatial data when response data is given at a finite number of locations and the aim is to predict the response at a new location, where only a short run of data is available. This is the type of dataset that is typically available when attempting to analyse wind velocity data.
D. G. T. Denison   +2 more
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Wind speed prediction with extreme learning machine

2016 IEEE 8th International Conference on Intelligent Systems (IS), 2016
The continuous growth of world population and the increase in energy demands on one hand, and the unfavourable changes in the Earth's climate and the fossil fuel depletion on the other hand, imply that pretty soon an important part of world energy will have to come from other renewable sources.
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Comparison of different models for wind speed prediction

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
The paper presents several unconventional models for wind speed prediction based on fuzzy logic and neural network techniques. First, two fuzzy models of a position and position-gradient type are built on the basis of different meteorological data such as solar radiation, relative humidity, ambient temperature, atmospheric pressure etc.
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A comparative analysis for wind speed prediction

2011 International Conference on Energy, Automation and Signal, 2011
Predicting short term wind speed is essential in order to prevent systems in-action from the effects of strong winds. It also helps in using wind energy as an alternative source of energy, mainly for Electrical power generation. Wind speed prediction has applications in Military and civilian fields for air traffic control, rocket launch, ship ...
R. S. Tarade, P. K. Katti
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Wind speed predicted by wavelet analysis in input prediction control of wind turbine

2008 7th World Congress on Intelligent Control and Automation, 2008
The third order of the high frequency parts of the whole wind speed are changed greatly, it is the input of wind turbine. The input determines the control value, so the control value is changed greatly in short time. The controller has the determine time to work. Hence, the input prediction control is introduced.
null Zhang Yanning   +3 more
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