Precipitation prediction method and device based on multi-LSTM model fusion

Abstract

The invention relates to a precipitation prediction method and device based on multi-LSTM model fusion, electronic equipment and a storage medium. The method comprises the following steps: acquiring historical meteorological data of daily granularity in a target area, and segmenting the historical precipitation in the historical meteorological data into a plurality of data sets according to a preset interval; respectively establishing LSTM models of the plurality of data sets and fusing the LSTM models, and combining the LSTM models with other factor prediction models to generate a precipitation prediction model; setting training process characteristics of the precipitation prediction model to complete the model training; optimizing a hyper-parameter of the precipitation prediction model on a verification set through a k-fold cross validation; and inputting a new sampling moment to the precipitation prediction model at the future time to obtain a corresponding precipitation predictionvalue. According to the precipitation prediction method based on the multi-LSTM model fusion provided by the invention, a plurality of sets of historical meteorological data are introduced through themulti-LSTM model fusion to realize the prediction of the precipitation, the perceptual ability of the historical data is improved, and a prediction result is accurate.

Description

technical field [0001] The present disclosure relates to the field of meteorological prediction, in particular, to a precipitation prediction method, device, electronic equipment and computer-readable storage medium based on fusion of multiple LSTM models. Background technique [0002] Precipitation is a key component of the water cycle, directly or indirectly affecting the life and development of human beings. Scientific forecasting of precipitation is the basis for improving the accuracy and practicability of water resource forecasting and hydrological forecasting, and is of great significance to the rational use of water resources and the improvement of industrial and agricultural water use. Therefore, the accuracy of precipitation forecast has become one of the important factors affecting the national economy and people's livelihood. Improving the accuracy of precipitation forecasting has become a very important direction in the field of meteorological forecasting. [...

AI Technical Summary

Problems solved by technology

The structure of traditional statistical methods is simple, but it is difficult to achieve ideal results in solving nonlinear precipitation prediction problems

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