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High-dimensional weather forecast data dimension reduction method based on big data platform

A big data platform and numerical weather forecasting technology, applied in weather condition forecasting, meteorology, instruments, etc., can solve problems such as poor results, improve forecasting accuracy, reduce the number of features, and improve disaster prevention and mitigation capabilities

Pending Publication Date: 2020-11-17
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

[0005] However, although the dimensionality reduction of weather forecast data has a certain research basis, there are still the following problems: linear data dimensionality reduction methods are all based on an assumption, that is, assuming that the data set under study is embedded in a global linear structure, Therefore, this type of method does not work well when faced with a data set with a nonlinear structure.

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  • High-dimensional weather forecast data dimension reduction method based on big data platform

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Embodiment Construction

[0014] In order to better understand the present invention, the method and system of the present invention will be further described below with reference to the description of the embodiments in conjunction with the accompanying drawings.

[0015] In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details. In the embodiments, well-known methods, procedures, components have not been described in detail so as not to unnecessarily obscure the embodiments.

[0016] see figure 1 As shown, the present invention provides a method for dimensionality reduction of high-dimensional weather forecast data based on a big data platform, comprising the following steps:

[0017] Step 1, build a big data platform to obtain multi-source meteorological data;

[0018] Step ...

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Abstract

The invention discloses a high-dimensional weather forecast data dimension reduction method based on a big data platform, and the method comprises the steps: constructing the big data platform, and obtaining multi-source meteorological data; fusing the multi-source meteorological data through the big data platform to form numerical weather forecast data; carrying out data preprocessing on the numerical weather forecast data; carrying out dimension screening of the numerical weather forecast data; and performing dimension reduction on the high-dimensional weather forecast data. The method can improve the effective utilization rate of weather forecast data, and achieves the building and application of numerical weather forecast in the power industry.

Description

technical field [0001] The invention belongs to the field of numerical weather forecasting in the electric power industry, and in particular relates to a dimensionality reduction method for high-dimensional weather forecast data based on a big data platform. Background technique [0002] As meteorological disasters become more and more frequent, especially high temperature, floods, and ice cover, etc., which cause major hazards to the safety of the power grid, numerical weather prediction technology is gradually applied to the power industry. A large number of researches on the development of numerical weather prediction data have been carried out in the field of new energy at home and abroad. In the United States, Windlogic, 3Tier, AWStruewind, etc. are developing weather forecasting systems based on real-time data and historical data of meteorological observations, and raw data of coarse and fine grid numerical weather. The German weather service center provides regional ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/10G01W1/00
CPCG01W1/10G01W1/00G01W2001/006
Inventor 汪步惟车建峰王勃范高锋冯双磊王伟胜刘纯王钊张菲王铮姜文玲赵艳青靳双龙
Owner CHINA ELECTRIC POWER RES INST
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