A method for optimizing cost prediction indexes of power transmission and transformation projects based on fuzzy clustering
Fuzzy clustering optimizes power transmission and transformation project cost prediction by iteratively refining cluster centers and membership indices, addressing inefficiencies in manual data compilation and traditional forecasting methods.
CN112541528BActive Publication Date: 2024-12-20STATE GRID CORPORATION OF CHINA +2
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Patent Information
- Application Number
- CN202011398768.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-12-02
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2040-12-02
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Figure CN112541528B_ABST
Abstract
A method for optimizing the cost prediction index of power transmission and transformation engineering based on fuzzy clustering, which first extracts n indicators from the technical and economic calculation system, then sets the initial number of cluster centers to 2, and uses a fuzzy clustering algorithm to classify each indicator, and then calculates the membership evaluation index K according to the fuzzy clustering result, then adds one to the number of cluster centers, and uses the fuzzy clustering algorithm to iterate continuously until the calculated K value reaches the maximum value, and the cluster center corresponding to the K value at this time is used as the optimized indicator. This design can not only effectively reduce the calculation difficulty of the prediction, but also improve the prediction accuracy.
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