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User electric charge recovery risk prediction method, device and system

A technology for risk forecasting and electricity bills, applied in forecasting, computer security devices, data processing applications, etc., can solve problems such as low information security, and achieve the effect of solving low information security, ensuring forecasting effects, and avoiding internal secret leakage.

Pending Publication Date: 2020-09-29
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
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Problems solved by technology

[0004] This application provides a method, device and system for user electricity charge recovery risk prediction, which is used to solve the technical problem of low information security in the existing electricity charge recovery risk prediction

Method used

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  • User electric charge recovery risk prediction method, device and system
  • User electric charge recovery risk prediction method, device and system
  • User electric charge recovery risk prediction method, device and system

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Embodiment Construction

[0046] The embodiments of the present application provide a method, device, and system for predicting user electricity charge recovery risk, which are used to solve the technical problem of low information security in the existing electricity charge recovery risk prediction.

[0047] In order to make the purpose, features and advantages of the present application more obvious and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the following The described embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0048]Federated Learning (Federated Learning) is an emer...

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Abstract

The invention provides a user electric charge recovery risk prediction method, device and system. The method comprises the steps that an electric charge management device acquires historical electriccharge data of a target user; the power charge management device inputs the historical electric charge data into a first joint prediction model for model operation to obtain an electric charge recovery risk prediction result of the target user, wherein the first joint prediction model is a neural network model which is configured in the power charging management device and is updated according tothe optimization model parameters sent by the collaboration party device. The method is based on a federated learning architecture. On the premise that the power charging management device does not need to carry out data interaction with data of other departments, data of a plurality of participating departments are fused, the prediction effect is ensured, internal confidentiality of each department is prevented from being leaked, and the technical problem that existing electric charge recovery risk prediction is low in information security is solved.

Description

technical field [0001] The present application relates to the technical field of electricity charge recovery, and in particular to a user electricity charge recovery risk prediction method, device and system. Background technique [0002] With the development of society, the number of power users has risen sharply. In order to meet the growing demand for electricity, the power sector must follow the pace of big data for further development, and electricity fee recovery is one of them. Electricity fee recovery It refers to the process that the electric power company charges the user after providing electric energy to the user. It is the core economic source of the electric power company and is related to the normal operation of the electric power company. [0003] At the same time, with the development of big data and artificial intelligence technology, aiming at the problem of electricity charge recovery risk prediction, the neural network method is used to establish a predi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F21/60G06N20/00
CPCG06Q10/04G06Q10/0635G06Q50/06G06F21/602G06N20/00
Inventor 肖勇曾勇刚钱斌石少青
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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