Research Article
Based on Multi-Dimensional Benefit Evaluation Index of Integrated Operation of Landscape Storage Study on System Construction
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345330, author={Chang Liu and Xiu Ji and Haifeng Zhang and Weinan Xu and Wei Wang}, title={Based on Multi-Dimensional Benefit Evaluation Index of Integrated Operation of Landscape Storage Study on System Construction}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={screening of wind-solar-storage evaluation indexes; clustering; ahp}, doi={10.4108/eai.15-12-2023.2345330} }- Chang Liu
Xiu Ji
Haifeng Zhang
Weinan Xu
Wei Wang
Year: 2024
Based on Multi-Dimensional Benefit Evaluation Index of Integrated Operation of Landscape Storage Study on System Construction
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345330
Abstract
The evaluation index system is one of the key factors to determine whether the multi-dimensional benefit evaluation of the integrated landscape storage operation system is accurate. In view of the redundancy of the multi-dimensional benefit comprehensive evaluation indicators of the integrated landscape storage operation system, a method combining cluster analysis and AHP (hierarchical analysis) is proposed to reduce the dimension of the indicators and initially screen out the indicators that have an important impact on the evaluation objectives. Eliminate low-impact indicators. KMO coefficient is used to judge the degree of overlap between the remaining indicators. Then the coefficient is used to KMa_idelete the overlapping index. Furthermore, the information overlap between the indicators is reduced and the accuracy of the comprehensive evaluation of the system benefit is improved.
