A Surface Wind Vector Nowcasting Method Based on svr and var

A technology of nowcasting and wind vector, applied in the field of machine learning, can solve the problem that the VAR model cannot be captured

Active Publication Date: 2021-08-13
海天星云(南京)技术有限公司
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Problems solved by technology

However, the relationship between surface meteorological elements is mainly nonlinear, and the traditional VAR model cannot capture

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  • A Surface Wind Vector Nowcasting Method Based on svr and var

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[0029] The technical solutions of the present invention will be further described below in conjunction with the drawings and examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0030] The present invention proposes a surface wind vector nowcasting method based on SVR and VAR. The present invention optimizes the SVR technology for the characteristics of meteorological elements, and introduces and improves the VAR model to realize the forecast of the surface wind vector.

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Work flow chart of the present invention is as figure 1 As shown, specifically:

[0032] First, collect the historical observation data of the site, including at least the observation values ​​of various meteorological elements on ...

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Abstract

The surface wind vector nowcasting method based on SVR and VAR, the specific steps and characteristics are as follows: Step 1: Collection of multiple meteorological elements on the ground; Step 2: Decomposition and quality control of the surface wind vector; Step 3: Based on a single meteorological element SVR Significant independent variable extraction; step 4: nonlinear model estimation based on all significant independent variables SVR and VAR; step 5: recursive forecasting of nonlinear model. The present invention proposes a surface wind vector nowcasting method based on SVR and VAR. The present invention optimizes the SVR technology for the characteristics of meteorological elements, and introduces and improves the VAR model to realize the forecast of the surface wind vector.

Description

technical field [0001] The invention relates to the field of machine learning, in particular to a surface wind vector nowcasting method based on SVR and VAR. Background technique [0002] Wind vector (including wind speed and wind direction) is an important observation element of surface meteorological stations, and changes in surface wind vector can significantly affect social production and people's lives. For example, in the field of transportation, especially aviation, the enhancement or sudden change of surface wind not only affects the frequency of aircraft takeoff and landing, but also seriously threatens the safety of life and property. Another example is in the field of energy, the power sector needs to adjust the wind power generation plan according to the size of the surface wind, and reduce the potential risk of abnormal changes in the power generation of wind turbines to the transmission network. Therefore, there is an urgent need for surface wind vector foreca...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/10
CPCG01W1/10Y02A90/10
Inventor 郭洪涛
Owner 海天星云(南京)技术有限公司
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