Big data based prediction method for the refining and managing of electric power marketing inspection

A technology of power marketing and forecasting methods, applied in the field of forecasting, can solve problems such as incomplete forecasting, affecting decision-making, increasing power marketing risks, etc., to achieve the effect of improving decision-making ability, improving accuracy, and improving the quality of business work

Inactive Publication Date: 2016-07-27
STATE GRID ZHEJIANG ELECTRIC POWER +2
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Problems solved by technology

With the continuous introduction of various marketing methods, new challenges and requirements have been brought to the management and control of the whole business process

Method used

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  • Big data based prediction method for the refining and managing of electric power marketing inspection

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Embodiment Construction

[0020] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0021] Such as figure 1 Shown, the present invention carries out as follows:

[0022] S1: According to the practical experience of electric power business analysts, some unique forecasting decision-making models are summarized in different time units such as annual, quarterly, monthly, etc. ;Establish a forecasting and decision-making model library, so that users can customize the parameters in the forecasting and decision-making model, and can define various new forecasting and decision-making models, provide users with sufficient space, organically combine human experience with computers, and ensure the accuracy of forecasting and decision-making sex;

[0023] S2: Through data mining of power business systems such as marketing business systems, electricity collection systems, and business-distribution integration platforms, and t...

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Abstract

A big data prediction method for the subject of lean management and control of power marketing inspection, relating to a prediction method. The management and control of the whole business process of electric power marketing often has the problem of incomplete prediction, which affects the final decision-making and increases the risk of electric power marketing. The present invention includes the following steps: mining and analyzing the data of the power business system to form basic data; establishing a predictive analysis model based on the obtained basic data to predict business problems and solve the problems in time; analyzing business problems according to different predictive analysis models Carry out predictive analysis and calculation, realize the prediction and positioning test of business problems, and form a theme prediction strategy; through a unified theme library management process, perform version management on all themes. This technical solution shortens the decision-making time, improves the decision-making ability, and improves the quality of business work through layer-by-layer mining of massive marketing business data.

Description

technical field [0001] The invention relates to a forecasting method, in particular to a big data forecasting method for the subject of lean management and control of power marketing inspection. Background technique [0002] In the operation and daily production process of electric power enterprises, electric power marketing occupies a very important position in the marketing market. In order to ensure the reasonable operation of electric power marketing, corresponding measures must be taken to control it, and the whole business process control of electric power marketing is It is an important way to maintain the normal operation of the power marketing industry and to effectively improve the efficiency of power marketing. With the continuous introduction of various marketing methods, new challenges and requirements have been brought to the management and control of the whole business process of electric power marketing. The problem of incomplete prediction often occurs, whic...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0639G06Q50/06
Inventor 孔繁钢涂莹吴越波胡若云林少娃马亮沈志宏陈仕军安东
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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