Intelligent railway station electric energy consumption prediction method based on Prophet

A forecasting method and electric energy technology, applied in forecasting, data processing applications, calculations, etc.

Inactive Publication Date: 2019-11-12
HUBEI KAIMEI ENERGY TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0007] The main purpose of the present invention is to provide a Prophet-based intelligent railway station power co

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  • Intelligent railway station electric energy consumption prediction method based on Prophet
  • Intelligent railway station electric energy consumption prediction method based on Prophet
  • Intelligent railway station electric energy consumption prediction method based on Prophet

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Embodiment Construction

[0050] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0051] refer to figure 1 , figure 1 It is a schematic structural diagram of a Prophet-based intelligent railway station electric energy consumption prediction device for the hardware operating environment involved in the solution of the embodiment of the present invention.

[0052] Such as figure 1As shown, the electronic device may include: a processor 1001 , such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface...

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Abstract

The invention belongs to the technical field of energy consumption prediction, and discloses an intelligent railway station electric energy consumption prediction method based on Prophet. The method comprises the following steps: monitoring each sub-node in a power utilization system to obtain actually measured electric energy consumption data corresponding to each sub-node; and inputting the actually measured electric energy consumption data corresponding to each sub-node into a preset prediction model to obtain a prediction curve graph corresponding to the predicted electric energy consumption data. Through the above mode, the to-be-tested electric meter is effectively predicted so as to search a high energy consumption link, and then a technical means is adopted to achieve an effect ofsaving energy.

Description

technical field [0001] The invention relates to the technical field of energy consumption prediction, in particular to a Prophet-based intelligent railway station electric energy consumption prediction method. Background technique [0002] With the development of high-speed railways, today's railway stations have entered the era of intelligence. At present, domestic railway stations mainly use technologies such as fuzzy least squares support vector machine (FLS-SVM) and radial basis neural network (RBF-ANN) to Power forecasting. Fuzzy least squares support vector machine is widely used in the field of energy consumption prediction because of its fast learning speed, good tracking performance, strong generalization ability, and high precision. In the SVM prediction, the Gaussian kernel function can be regarded as the distance from each input point, and the RBF neural network does a clustering of the input points, which can also get a better prediction effect, but there are t...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 张军凯肖迪光
Owner HUBEI KAIMEI ENERGY TECH
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