Decision support system for company management based on statistical indicators and application method thereof

Abstract

The invention discloses a decision support system for company management based on statistical indicators and an application method thereof in the technical filed of electric power. The system comprises a system configuration module, a power sale quantity predicting module, a line loss predicting module, a financial indicator predicting method, a predicted result inquiring model and an indicator adjusting module. The method includes the steps of collecting related material, confirming key factors which influence company management decision support, confirming a main plate and a main technical route which are studied by a company management comprehensive plan indicator intelligent decision system, forming a frame structure of the company management comprehensive plan indicator intelligent decision system, constructing a comprehensive plan management indicator system of company managing development as for the actual situation of an electric power company, establishing a comprehensive plan management indicator predicting model, constructing a study platform of the company management comprehensive plan indicator intelligent decision system, completing data connection, and achieving open system interconnection inside a grid. The decision support system for the company management based on the statistical indicators and the application method thereof improve the working efficiency and the working quality of company management key indicator predicting analysis.

Description

technical field [0001] The invention belongs to the field of electric power technology, and in particular relates to a decision support system for company management based on statistical indicators and a use method thereof. Background technique [0002] The existing research on decision support for company management has the following defects: [0003] (1) Failure to comprehensively handle the support for key indicators of the company's operations; [0004] (2) It cannot effectively combine the actual situation to conduct specific analysis of specific issues, nor can it provide an efficient solution library to predict and analyze important indicators such as the company's operating purchase and sales, line loss rate, etc.; [0005] (3) The factors considered in the forecasting of key indicators of the company's operations are not comprehensive enough to ensure the accuracy of indicator forecasting, and the data of relevant factors are not effectively integrated into the ind...

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Problems solved by technology

[0003] (1) Failure to comprehensively handle the support for key indicators of the company's operations;

[0004] (2) It cannot effectively combine the actual situation to conduct specific analysis of specific issues, nor can it provide an efficient solution library to predict and analyze important indicators such as the company's operating purchase and sales, line loss rate, etc.;

[0005] (3) The factors considered in the forecasting of key indicators of the company's operations are not comprehensive enough to ensure the accuracy of indicator forecasting, and the data of relevant factors are not effectively integrated into the indicator forecasting section;

[0006] (4) There is no function of forecasting result query and index adjustment, and effective visual analysis of the market cannot be carried out

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