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Method and device of constructing building energy consumption predication model

A prediction model and technology for building energy consumption, applied in prediction, neural learning methods, biological neural network models, etc., can solve problems such as low prediction accuracy

Active Publication Date: 2018-01-16
BEIJING SHOUGANG AUTOMATION INFORMATION TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] In view of the problems existing in the prior art, the embodiment of the present invention provides a method and device for constructing a building energy consumption prediction model, which is used to solve the technical problem of low prediction accuracy in the prior art when predicting the trend of building energy consumption

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  • Method and device of constructing building energy consumption predication model
  • Method and device of constructing building energy consumption predication model
  • Method and device of constructing building energy consumption predication model

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Embodiment 1

[0062] This embodiment provides a method for building a building energy consumption prediction model, such as figure 1 As shown, the method includes:

[0063] S101. Obtain building prior data, and obtain a set of energy consumption influencing factors based on the prior data;

[0064] In this step, it is first necessary to obtain building prior data, and obtain a set of energy consumption influencing factors based on the prior data.

[0065] Then classify the energy-influencing factors. Specifically, according to the obtained energy-influencing factor set and the data distribution of each factor, decide whether to adopt normalization and ashing processing, and combine the pre-processed factors with the The energy consumption value is subjected to a first-order linear regression fitting analysis, and the energy consumption influencing factors are divided into a set of linearly related influencing factors and a set of nonlinearly related influencing factors through a linear rel...

Embodiment 2

[0131]Corresponding to Embodiment 1, this embodiment provides a device for constructing a building energy consumption prediction model, such as figure 2 As shown, the device includes: an acquisition unit 21, a classification unit 22, a first construction unit 23, a determination unit 24, a second construction unit 25, a training unit 26, a prediction unit 27, an output unit 28 and a preprocessing unit 29; wherein ,

[0132] Firstly, the obtaining unit 21 is used to obtain prior data, and obtain a set of energy consumption influencing factors based on the prior data.

[0133] The classification unit 22 is used to classify the energy-influencing factors, specifically, according to the obtained energy-influencing factor set and the data distribution of each factor, decide whether to adopt normalization and graying processing, and preprocess The first-order linear regression fitting analysis is performed on each factor and the energy consumption value, and the energy consumption...

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Abstract

The embodiment of the present invention provides a method and device of constructing a building energy consumption predication model. The method comprises the steps of obtaining an energy consumptioninfluence factor set; dividing the energy consumption influence factor set into a linear correlation influence factor set and a nonlinear correlation influence factor set; separately constructing thecorresponding Bayes network models; based on the corresponding Bayes network models, grouping into the first primary influence factors, the first secondary influence factors, the second primary influence factors and the second secondary influence factors; constructing the BP neural network training models; based on the training sample data, training the BP neural network training models separately; based on the preset test sample data, separately predicting and verifying the trained BP neural network training models, and outputting the prediction result values; if an error of the prediction result values is within a preset error range, outputting an energy consumption predication model of the linear correlation influence factors and an energy consumption predication model of the nonlinearcorrelation influence factors.

Description

technical field [0001] The invention belongs to the technical field of data analysis in the construction industry, and in particular relates to a method and device for constructing a building energy consumption prediction model. Background technique [0002] The trend analysis of building energy consumption has been a research hotspot of many scholars at home and abroad for many years, but no matter what kind of analysis method is used, it lacks the description of the key influencing factors in the uncertain energy consumption system. When forecasting, the forecasting accuracy is low, resulting in the inability to accurately predict the trend of energy consumption. Contents of the invention [0003] Aiming at the problems existing in the prior art, the embodiments of the present invention provide a method and device for constructing a building energy consumption prediction model, which is used to solve the technical problem of low prediction accuracy in the prior art when ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/08G06N3/08
Inventor 宋扬官泽孔祥旭
Owner BEIJING SHOUGANG AUTOMATION INFORMATION TECH
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