Paper
25 April 2023 Research on contribution evaluation of power grid companies in energy big data ecosystem
Kailin Zhang, Jialin Lin, Baoguang Xu, Ming Zeng, Xiaochun Zhang, Chuansheng Xie
Author Affiliations +
Proceedings Volume 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022); 1259813 (2023) https://doi.org/10.1117/12.2672881
Event: Eighth International Conference on Energy Materials and Electrical Engineering (ICMEE 2022), 2022, Guangzhou, China
Abstract
With the advent of the era of data economy, the digitization process in the energy field is accelerating, and the energy big data ecosystem is gradually constructed. As the core enterprise of the energy ecological system, power grid companies are crucial to the development of the energy big data ecosystem. The contribution evaluation index system of power grid companies in the energy big data ecosystem is constructed from three dimensions basic ability, input resource level, and innovation diffusion ability. The contribution evaluation model of power grid companies in the energy big data ecosystem is proposed based on the entropy weight-priority relationship, and the contribution of power grid companies in the cultivation of the energy big data ecosystem is comprehensively evaluated. Taking a power grid company in China as an example, the rationality and effectiveness of this method are verified.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kailin Zhang, Jialin Lin, Baoguang Xu, Ming Zeng, Xiaochun Zhang, and Chuansheng Xie "Research on contribution evaluation of power grid companies in energy big data ecosystem", Proc. SPIE 12598, Eighth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2022), 1259813 (25 April 2023); https://doi.org/10.1117/12.2672881
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KEYWORDS
Power grids

Ecosystems

Data modeling

Diffusion

Analytics

3D modeling

Standards development

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