Research Article
Research and Application of Rural Revitalization Power Index Evaluation Model Construction Based on Big Data Analysis
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328036, author={Xiang Huang and Weifu Wang and Qiming Zhao and Shiwang Yang and Peng Lv}, title={Research and Application of Rural Revitalization Power Index Evaluation Model Construction Based on Big Data Analysis}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={rural revitalization evaluation index; electric power big data; principal component analysis algorithm; rural development level}, doi={10.4108/eai.2-12-2022.2328036} }- Xiang Huang
Weifu Wang
Qiming Zhao
Shiwang Yang
Peng Lv
Year: 2023
Research and Application of Rural Revitalization Power Index Evaluation Model Construction Based on Big Data Analysis
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2328036
Abstract
Through the interpretation of policies related to rural revitalization, combined with existing electricity data, the rural revitalization power index evaluation system was constructed. The evaluation index index weight is calculated based on massive power data and principal component analysis method to obtain the rural revitalization power index evaluation model. Based on the calculated evaluation model,a rural revitalization power index evaluation platform is designed and developed, which is used to quantitatively evaluate rural development in multiple dimensions and reflect the effectiveness of power advance work , and provide decision support for power supply companies and governments to implement rural revitalization strategies.
