User behavior data mining-based electric energy experience analysis method and system

A data mining and power consumption data technology, applied in the field of power experience, can solve problems such as sensitive load impact and economic loss

Inactive Publication Date: 2017-06-30
SHENZHEN POWER SUPPLY BUREAU +1
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Problems solved by technology

Since power quality disturbances are unavoidable, sensitive users face great risks, and even very short-term voltage disturbances can have serious effects on sensitive loads
Therefore, for sensitive users, even minor power quality problems can lead to serious financial losses

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  • User behavior data mining-based electric energy experience analysis method and system
  • User behavior data mining-based electric energy experience analysis method and system
  • User behavior data mining-based electric energy experience analysis method and system

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, in the embodiment of the present invention, a power experience analysis method based on user behavior data mining is provided, and the method includes:

[0035] Step S1. Acquire the historical electricity consumption data of each user on the user side, and construct a three-dimensional tensor model based on the acquired historical electricity consumption data of each user on the user side with date information, time information, and user information as coordinate axes;

[0036] The specific process is to collect the historical electricity consumption data of users on the user side through the smart meter, and collect once every half an hour as the collection cycle, and use each user as the storage unit to store the collected histo...

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Abstract

The invention provides a user behavior data mining-based electric energy experience analysis method which comprises the following steps: historic electricity consumption data of all users on a user side; a three dimensional tensor model is built while date information, time information and user information are used as coordinate axes; a Tucker decomposition method is adopted for decomposing the three dimensional tensor model; two dimensional characteristic matrixes that respectively correspond to the data information, the time information and the user information; a distribution law of electricity consumption loads of users is determined; cluster analysis is conducted, and user electricity consumption mode types are built according to all kinds of cluster results; all levels of user sensitivity are determined and combined with electricity consumption modes, an electricity consumption mode prediction model is established, current actual electricity consumption data of object users is obtained and imported into the electricity consumption mode prediction model, and current electricity consumption mode types of the object users and corresponding current sensitivity levels are obtained. Via use of the analysis method, user electric energy experience analysis results can be obtained from a user angle based on user side load sensitivity.

Description

technical field [0001] The present invention relates to the technical field of electric energy experience, in particular to an electric energy experience analysis method and system based on user behavior data mining. Background technique [0002] With the development of information technology and high-tech industries, users' demand for electric energy has changed from pure power consumption to power quality. Therefore, power quality evaluation is very important for the service quality of power users and power suppliers in the link of power supply and electricity sales. the elements of. The existing power quality standards are described by the macroscopic steady-state or transient current and voltage of power supply, and only emphasize the physical properties of electricity, such as voltage sags, swells and short-term interruptions, and voltage waveform distortion caused by harmonics In fact, the evaluation of power quality also depends on the sensitivity and actual experien...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06393G06Q10/067G06Q50/06Y02P90/82
Inventor 张华赢曹军威朱正国张婉璐
Owner SHENZHEN POWER SUPPLY BUREAU
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