Progressive planning-based power grid evaluation method and system based on combined assessment theory
By combining assessment theory and deep learning models, the problem of subjective bias in traditional power grid assessment methods is solved, achieving objectivity and accuracy in power grid assessment, and making it applicable to assessment and analysis in power grids and other fields.
Patent Information
- Application Number
- PCT/CN2024/135897
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-10-08
- Filing Date
- 2024-11-29
- Publication Date
- 2026-04-16
AI Technical Summary
Traditional power grid assessment methods are influenced by subjective biases, leading to inaccurate assessment results and making it difficult to comprehensively and accurately measure the effectiveness of distribution network planning.
A progressive planning power grid evaluation method based on combined evaluation theory is adopted, which combines subjective and objective weighting methods, similarity theory evaluation, nonparametric regression and deep learning models, and performs power grid data analysis through data processing, feature engineering, LSTM network and attention mechanism.
It improves the objectivity and accuracy of power grid assessment, can handle large amounts of complex data, enhances assessment efficiency and practicality, and is applicable to power grid assessment and can be extended to other fields.