Temporal significant wave height estimation from wind speed by perceptron Kalman filtering

S. Mandal

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Temporal significant wave height estimation from wind speed by perceptron Kalman filtering

机译：利用感知器卡尔曼滤波根据风速估算时间的重要波高。

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The significant wave heights and periods are conventionally forecasted from the wind information on the basis of the wind-wave relationship. However, the error may become large due to many uncertainties in the wind generation prediction and wind—wave relationship. This is also confirmed by the authors, where the correlation (r) between measured wind speeds and significant wave heights is found to be 0.595 (r~2 = 0.3541). The authors have rightly mentioned the restrictive uses of regression method (RM), especially for predicting wind-generated waves.

机译：通常根据风波关系从风信息中预测有效的波高和周期。但是，由于风力发电预测和风浪关系中的许多不确定性，误差可能会变大。这也得到了作者的证实，发现测得的风速与有效波高之间的相关性（r）为0.595（r〜2 = 0.3541）。作者正确地提到了回归方法（RM）的限制性使用，特别是在预测风生成波时。

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来源
《Ocean Engineering》 |2007年第9期|p.1355-1356|共2页
作者
S. Mandal;
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作者单位

Ocean Engineering Division, National Institute of Oceanography, Dona Paula, Goa 403 004, India;

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正文语种 eng
中图分类海洋学;
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1. Temporal significant wave height estimation from wind speed by perceptron Kalman filtering [J] . Abduesselam Altunkaynak, Mehmet Oezger Ocean Engineering . 2004,第10期

机译：利用感知器卡尔曼滤波根据风速估算时间的重要波高。
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3. Wind estimation with a non-standard extended Kalman filter and its application on maximum power extraction for variable speed wind turbines [J] . Song Dongran, Yang Jian, Cai Zili, Applied Energy . 2017,第MARa15期

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4. A wind speed estimation method using adaptive Kalman filtering for a variable speed stall regulated wind turbine [C] . Bourlis Dimitris, Bleijs J.A.M. 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power System . 2010

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Temporal significant wave height estimation from wind speed by perceptron Kalman filtering

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