Meteorological calamity prediction method based on multivariate linear regression algorithm

Abstract

The invention discloses a meteorological calamity prediction method based on a multivariate linear regression algorithm. The method comprises: first of all, according to historical data, determining major meteorological calamities of an area to be predicted in a specific period, and then respectively establishing a mapping relation equation between the various major meteorological calamities and meteorological factors; and finally, introducing meteorological factor parameter values in the mapping relation equation between the various major meteorological calamities and meteorological factors to obtain a value of probability that the corresponding meteorological calamities take place. According to the invention, the multivariate linear regression algorithm is applied to a meteorological calamity prediction technology, the mapping relation equation between the major meteorological calamities and meteorological factors is established, what is needed is only to collect the meteorological factor parameter values, and requirements for sample data are not high. The method provided by the invention can be applied to various environments, different mapping relation equation coefficients can be obtained according to different meteorological factor values of each place, and the adaptability is high; and the calculation process provided by the method of the invention is relatively simple and does not require repeated debugging, thus the application value is wide.

Description

technical field [0001] The invention relates to the technical field of meteorological disaster protection in electric power systems, in particular to a method for predicting meteorological disasters based on a multiple linear regression algorithm. Background technique [0002] Meteorological disasters are one of the important factors that have a major impact on the power grid and cause the power grid to suffer huge losses. my country is one of the countries with the most serious natural disasters in the world. There are many types of disasters, wide distribution areas, high frequency of occurrence, and serious losses. And because the power supply reliability and overall security of the internal structure of the power grid are considered more during the construction of the traditional power grid in my country, the level of prevention and control of losses caused by external factors to the power grid is not high enough, so whenever a major meteorological disaster is encountere...

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, such as high sample data requirements, poor adaptability, complex calculation process, etc., to provide a meteorological disaster prediction method based on multiple linear regression algorithm, to provide a good weather disaster protection policy support

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