A predictive analysis system and analysis method for key operating indicators of power grid enterprises
A technology of predictive analysis and business indicators, applied in the field of predictive analysis, can solve problems such as incomplete consideration of external factors, lack of data support, waste of investment, etc., and achieve the effects of improving decision-making efficiency, ensuring effectiveness, and improving efficiency
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Embodiment 1
[0042] Embodiment 1: Prediction and Analysis System of Key Operating Indicators of Power Grid Enterprises
[0043] A predictive analysis system for key operating indicators of power grid enterprises, the system includes a basic plan preparation module, a data management module, a judgment rule management module, a predictive analysis module and a plan version management module, the basic plan preparation module, data management module, judgment The rule management module, predictive analysis module and plan version management module are connected in sequence; the basic plan preparation module is used for importing and collecting business data, providing the basis for the data management module; the data management module is connected with the basic plan preparation module for The planning module obtains the information of business indicators, and transmits the information to the judgment rule management module; the basic planning module and the data management module jointly es...
Embodiment 2
[0048] Embodiment 2: The predictive analysis method of the predictive analysis system based on the key operating indicators of power grid enterprises
[0049] like figure 1 As shown, a predictive analysis method based on the predictive analysis system of key operating indicators of power grid enterprises, the method includes the following steps:
[0050] S1: Basic data collection: the data management module obtains the business index information from the basic plan preparation module, and passes the information to the rule scenario setting stage;
[0051] S2: Rule scenario setting: According to the difference of internal and external environments, based on historical data, use the control chart to set the rules of basic data, perform data verification on the indicator data in step 1, find out abnormal data for processing, and process the processed The data is substituted into the model analysis module to calculate the results, and the results are output to the predictive anal...
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