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Electric quantity data recovery method based on joint weather information matrix decomposition

A technology of power data and matrix decomposition, applied in data processing applications, complex mathematical operations, instruments, etc., it can solve the problems of incomplete power data, unable to guarantee 100% successful acquisition, data queuing, etc., and achieve the goal of improving recovery accuracy. Effect

Active Publication Date: 2018-05-11
国网甘肃省电力公司信息通信公司 +2
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Problems solved by technology

This leads to a significant increase in the amount of real-time transmission data, which may lead to problems such as data queuing and loss in network transmission, and cannot guarantee 100% successful collection, making the power data incomplete and there are unknown vacancies
Unable to meet the grid company's collection and analysis of electricity consumption information in the jurisdiction under the new market and technological development prospects

Method used

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  • Electric quantity data recovery method based on joint weather information matrix decomposition
  • Electric quantity data recovery method based on joint weather information matrix decomposition
  • Electric quantity data recovery method based on joint weather information matrix decomposition

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Embodiment Construction

[0032] The difference between the readings of the electric meter before and after the electricity user is the power value, which indicates the amount of power used during this period. The power information of N users in consecutive H days constitutes a power matrix X∈R 1 H*N . In the matrix, the number of rows H represents the date of electricity consumption, and the number of columns N represents the number of users. The collected power data is summarized and arranged to form a matrix of H*N, x ij Indicates the power consumption of the jth user on the i-th date, such as figure 1 shown.

[0033] 100% collection cannot be guaranteed due to failure of transmission communication. The power matrix is ​​incomplete and there are unknown vacant elements. Use a binary matrix Ω to indicate whether the elements of the electric quantity matrix are known, ω ij When the value is 1, the power x ij known, otherwise the charge x ij unknown. It is hoped to complete the estimation and ...

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Abstract

The invention discloses an electric quantity data recovery method based on joint weather information matrix decomposition. Weather data is used for providing context information, and joint matrix decomposition is used for recovering missing electric quantity data. An electric matrix behavior date is listed as a user, and a weather matrix behavior date is listed as weather attribute. The electric quantity matrix and the weather matrix share data information, and the feature matrix of the date is shared after decomposition. A joint decomposition optimization target is designed, a joint decomposition optimization model is established, the optimization model is solved on the basis of gradient descent iterative update, and an electric quantity recovery algorithm based on the joint matrix decomposition is designed. An experiment result indicates that the method exhibits higher recovery accuracy than an NMF (Nonnegative Matrix Factorization).

Description

technical field [0001] The invention relates to a data recovery technology using matrix decomposition, in particular to a power data recovery method based on joint weather information matrix decomposition. Background technique [0002] Power grid companies need to collect user electricity data for operating status analysis and electricity bill calculation. At present, for resident user information, only the daily average data is required to be collected, that is, the watch code data at zero o'clock in the day is automatically frozen, and then uploaded in batches. However, with the development of smart grids and energy Internet, the No. 9 document of the Xindian Reform proposed to open up the electricity sales side market, and put forward new requirements for the collection of user electricity data: it is necessary to collect multiple electricity data in real time every day. This leads to a significant increase in the amount of real-time transmission data, which may lead to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06Q50/06
CPCG06F17/16G06Q50/06
Inventor 祝唯微党倩孙沛何施茗袁昊柴京赵博金铭
Owner 国网甘肃省电力公司信息通信公司
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