Evaluation of enterprise-level transformation performance in power industry based on BAS-BP neural network
The power industry is undergoing rapid change. Under the multiple effects of policy orientation, market demand and technological innovation, a new round of power industry reform is on the verge. Based on the analysis of the changes in the power industry under the new dynamics of the reform, combined with the research on performance evaluation theories and the performance evaluation model of power grid companies, we have elaborated a enterprise-level intelligent performance evaluation framework for the power industry. The system constructs a comprehensive performance evaluation index for enterprise-level transformation in the power industry from five dimensions: finance, customer, security, internal operation and learning and growth. By leveraging BAS-BP neural network methodology, the enhancement of evaluative intelligence and the refinement of model optimization are accomplished. Actual case studies further confirm the effectiveness of the model and the feasibility of the intelligent evaluation system.
Authors
- Jiajie Chen
- Yinglong Zheng
- Fangmin He (ORCID: https://orcid.org/0000-0002-3032-6322)
- Guangcai Wu
- Xin Li (ORCID: https://orcid.org/0000-0002-0041-3134)
Institutions
- National Grid (United States) (US)
Publication Details
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1117/12.3056814
- Primary Topic
- Industrial Technology and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00