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SYSTEM AND METHODS FOR HYPER SHORT-TERM WIND POWER PREDICTION USING REAL-TIME WIND PARAMETER MEASUREMENTS

机译:基于实时风参数测量的超短期风功率预测系统和方法

摘要

A method and system for short term wind power prediction using real time wind speed measurements is disclosed. The method includes receiving at least one real-time characteristic associated with at least one wind turbine, maintaining a database of characteristics associated with the at least one wind turbines, training a machine learning model based on one or both of the database of characteristics and the at least one characteristic, testing the accuracy of the at least one machine learning model and outputting from the machine learning model generated output data based on the training and testing data. Responsive to determining that the accuracy exceeds a predetermined value, one or both of wind speed and energy output of the at least one wind turbine can be calculated.
机译:公开了一种使用实时风速测量进行短期风能预测的方法和系统。该方法包括:接收与至少一个风力涡轮机相关联的至少一个实时特征;维护与至少一个风力涡轮机相关联的特征的数据库;基于特征数据库和特征数据库中的一个或两个来训练机器学习模型。至少一项特征,测试至少一种机器学习模型的准确性,并根据训练和测试数据从机器学习模型输出生成的输出数据。响应于确定精度超过预定值,可以计算至少一台风力涡轮机的风速和能量输出中的一者或两者。

著录项

  • 公开/公告号US2020063710A1

    专利类型

  • 公开/公告日2020-02-27

    原文格式PDF

  • 申请/专利权人 BLUWAVE INC.;

    申请/专利号US201916548072

  • 申请日2019-08-22

  • 分类号F03D7/02;F03D7/04;F03D17;

  • 国家 US

  • 入库时间 2022-08-21 11:21:11

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