Solar radiation prediction method based on TCN-Attention

A forecasting method and technology of solar radiation, applied in the field of solar radiation forecasting, can solve the problem of inaccurate forecasting effect, and achieve the effect of improving the accurate forecasting effect, improving the forecasting effect, and avoiding overfitting.

Pending Publication Date: 2021-12-10
HEBEI UNIV OF TECH
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Problems solved by technology

[0008] To this end, the present invention provides a TCN-Attention-based solar radiation prediction calculation method to overcome the problem of inaccurate prediction in the prior art

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  • Solar radiation prediction method based on TCN-Attention
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  • Solar radiation prediction method based on TCN-Attention

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[0044]In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.

[0045] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0046] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "left", "right", "inner", "outer" and other indicated directions or positional relationships are based on the terms shown in the accompanying drawings. The direction or positional relationship shown is o...

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Abstract

The invention relates to a solar radiation prediction method based on TCN-Attention. The working process of the solar radiation prediction method comprises the following steps: S1, carrying out a series of data preprocessing such as necessary cleaning, conversion and specification on historical solar radiation data collected by a meteorological station, and carrying out normalization processing on the data so as to enable each index to be in the same order of magnitude; S2, dividing the data set into a training set and a test set; S3, establishing a TCN network training model based on an Attention mechanism; and S4, inputting historical solar radiation data to the trained prediction model, and outputting an ultra-short-term solar radiation value in the future 1h. The Attention mechanism module is introduced through the hidden layer of the TCN model to highlight key information, and the accurate prediction effect is further improved.

Description

technical field [0001] The invention relates to the technical field of solar radiation prediction, in particular to a method for solar radiation prediction based on TCN-Attention. Background technique [0002] With the continuous development of economy and science and technology and the increasingly serious problem of environmental pollution, the development and utilization of new energy sources are becoming more and more extensive. Solar energy has attracted widespread attention because of its clean and pollution-free advantages, and is considered to be one of the largest potential energy sources. For the multi-heat source coupling heating system combining solar energy and other energy sources, due to the low energy flow density of solar heating, the heating intensity is affected by factors such as region and climate, and the fluctuation is discontinuous, random and intermittent. Therefore, the adjustment of the heat storage of other energy sources in the solar system is t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08
CPCG06Q10/04G06N3/08G06N3/045
Inventor 薛桂香孔祥飞杜欣瑜
Owner HEBEI UNIV OF TECH
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