Research on Identification of Key Influencing Factors of Power Grid Investment Demand Based on Data Mining
- Resource Type
- Conference
- Authors
- Du, Ying; Ma, Tiannan; Jian, Yaling; Wang, Qian; Li, Qian; Chen, Jinyong
- Source
- 2022 International Conference on Artificial Intelligence in Everything (AIE) AIE Artificial Intelligence in Everything (AIE), 2022 International Conference on. :280-283 Aug, 2022
- Subject
- Computing and Processing
Correlation
Costs
Predictive models
Prediction algorithms
Power grids
Data mining
Cotton
Gray Correlation Degree
Principal Component Factor
Power Grid Introjection Demand
- Language
The influencing factor mining arithmetic ground on gray correlation degree-principal component factor is used to cotton the key affecting factors of power grid introjection demand. The gray correlation degree is used to remove non-critical influencing factors, and the principal component factor is used to shorten the overlap of key influencing factors. And shorten the dimensionality of the input carrier of the prediction model.