Paper
7 October 2022 Research on the indicator system of new energy development level based on principal component analysis
Shouqin Wang, Sige Liu, Qiuxia Yu, Boda Zhang, Chen Tan, Mingyu Hua
Author Affiliations +
Proceedings Volume 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022); 1234409 (2022) https://doi.org/10.1117/12.2655661
Event: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 2022, Zhuhai, China
Abstract
As a result of the comprehensive development of new energy, the indicators used to assess the level of new energy development in a region involve a variety of aspects. The relatively redundant and complex data indicators and various factors with different impact scopes make it difficult to give an intuitive overall quantitative level of new energy development in a region, and the non-uniform evaluation indicators make the results obtained from different provinces or regions no longer comparable. Based on the principal component analysis method, this paper establishes a set of general and unified new energy development level indicator evaluation system for all provinces from quantitative analysis to qualitative analysis, which can intuitively and quickly evaluate the indicators and overall development level of major provinces or regions in a comprehensive way, thereby providing methods and practical basis for analyzing the distribution and laws of new energy development across the country.
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Shouqin Wang, Sige Liu, Qiuxia Yu, Boda Zhang, Chen Tan, and Mingyu Hua "Research on the indicator system of new energy development level based on principal component analysis", Proc. SPIE 12344, International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022), 1234409 (7 October 2022); https://doi.org/10.1117/12.2655661
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KEYWORDS
Principal component analysis

Wind energy

Solar energy

Radar

Analytical research

Data modeling

Image segmentation

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