Three-dimensional park portrait drawing method and system based on clustering algorithm

A clustering algorithm and park technology, applied in computing, energy-saving computing, computer components, etc., can solve problems such as the inability to extract local features, the difficulty of clustering algorithms to perform cluster analysis effectively, and the difficulty of reflecting the differences in data, etc.

Active Publication Date: 2020-10-20
STATE GRID CORP OF CHINA +2
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Problems solved by technology

However, the current clustering analysis is mostly based on the analysis of unlabeled data. In the analysis process, the data is regarded as a whole and the distance between different data is calculated. It is difficult to reflect the differences in the data and cannot extract local features.
For the park portrait model, 96 points of data need to be processed, that is, the local characteristics of the data and the differences in the data need to be considered. Therefore, it is difficult for traditional clustering algorithms to effectively perform cluster analysis in the park portrait model
In general, user profiling technology has been explored more in the fields of Internet recommendation systems such as books and travel, but it is only for profiling analysis at the user level and has not yet been applied to park profiling at the user group level.

Method used

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  • Three-dimensional park portrait drawing method and system based on clustering algorithm
  • Three-dimensional park portrait drawing method and system based on clustering algorithm
  • Three-dimensional park portrait drawing method and system based on clustering algorithm

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Embodiment 1

[0056] figure 1 It is a flow chart of the three-dimensional park portrait method based on the clustering algorithm in the present invention. Such as figure 1 As shown, a three-dimensional park portrait method based on clustering algorithm includes:

[0057] Step 101: Obtain relevant data of all parks that need to be profiled, and the relevant data includes smart meter electricity consumption data and grid user business transaction records.

[0058] The electricity consumption data of the smart meter is the user's daily load data, which is the conversion ratio of the active / reactive power and the load data of different voltage levels obtained by sampling once every 15 minutes for 24 hours a day; Monthly power consumption, paid electricity bills, peak power, normal power, off-peak power, power outage duration, and user profile information, including user account name, user contract capacity, voltage level, and industry classification.

[0059] Step 102: Using the SpectralBicl...

Embodiment 2

[0207]Corresponding to the clustering algorithm-based three-dimensional park portrait method in Embodiment 1 of the present invention, the present invention also provides a clustering algorithm-based three-dimensional park portrait system, figure 2 It is a structural diagram of the three-dimensional park portrait system based on the clustering algorithm of the present invention. like figure 2 As shown, a three-dimensional park portrait system based on clustering algorithm includes:

[0208] The data acquisition module 201 is used to acquire the relevant data of all parks that need to be profiled, and the relevant data includes smart meter electricity consumption data and grid user business transaction records.

[0209] The user electricity consumption behavior determination module 202 is used to perform cluster analysis on the electricity consumption behavior of the park users by using the SpectralBiclustering double clustering algorithm according to the electricity consump...

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Abstract

The invention relates to a three-dimensional park portrait drawing method and system based on a clustering algorithm. The method comprises the following steps: carrying out clustering analysis on power consumption behaviors of users in a park by adopting a SpectralBiclustering biclustering algorithm to obtain power consumption behaviors of the users; analyzing the user energy configuration by adopting a Logistic curve model and an improved gray Verhulst model to obtain a user energy configuration maturity result; analyzing the user demand response by adopting a demand response evaluation algorithm based on the minimum load power consumption mode and the demand response load reduction rate to obtain a user demand response capability evaluation result; respectively clustering the user powerconsumption behaviors, the user energy configuration maturity results and the user demand response capability evaluation results to obtain user power consumption behavior features, user energy configuration features and user demand response features; and splicing the features to obtain a park portrait sequence. The method and the system can be applied to park portraits of a user group level, and park portrait analysis of quantitative description features is realized.

Description

technical field [0001] The invention relates to the field of park electricity management, in particular to a three-dimensional park portrait method and system based on a clustering algorithm. Background technique [0002] Since 2008, China's economic transformation has become an economic development mode that is too dependent on external demand growth, and promoting the optimization and upgrading of China's industrial structure has become an urgent and important strategic task related to the overall national economy. Developing the park economy and building leading industrial clusters can promote the adjustment of industrial structure and change the mode of economic growth in various places, so the construction of parks has been carried out in various places. The power consumption level of the park is relatively high, and there are large differences in the power consumption level of different parks, which increases the difficulty of power consumption management in the park. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F16/2458G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q50/06G06F16/2465G06Q10/06393G06F18/23213Y02D10/00Y02P90/82
Inventor 张琳娟许长清王利利张平卢丹周楠李晨希
Owner STATE GRID CORP OF CHINA
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