Bai HaiyanThis email address is being protected from spambots. You need JavaScript enabled to view it.
Shandong College of Economics and Business, Weifang, 261011, China
Received: September 27, 2025 Accepted: January 9, 2026 Publication Date: March 21, 2026
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
AB/Ce-commerce management model integrated with a Label Propagation Algorithm (LPA) is developed to enhance the management efficiency and development potential of new energy enterprises. Enterprise databases and network monitoring platforms are employed to collect operational data, which are then labeled and classified using LPA. Wind, hydropower and solar energy data are processed within the B/C framework to enable comprehensive comparison, mapping and logical association. The proposed model supports unified data integration, correlation analysis and predictive decision-making for renewable energy management. Experimental results indicate that the e-commerce platform achieves a data integration rate of 92% across multiple energy sources and a prediction accuracy of 82% for future development trends. In addition, the structural optimization rate of new energy development reaches 90.6%. The results show that the B/C-LPA framework improves energy allocation, reduces waste and supports sustainable energy management.
Keywords: New Energy Enterprises, E-Commerce, Energy Optimization, Development Expectations
[1] C. Cao, Y. Lyu, J. Huang, R. Luo, H. Huang, and G. Yu, (2024) “The Impact of China’s New Energy Vehicle Policies on Corporate Social Responsibility: A Textual Big Data Analytics Approach" Corporate Social Responsibility and Environmental Management 31(6): 5327 5342. DOI: 10.1002/csr.2867.
[2] J. Chen, Q. Li, P. Zhang, and X. Wang, (2024) “Does Technological Innovation Efficiency Improve the Growth of New Energy Enterprises? Evidence from Listed Com panies in China" Sustainability 16(4): 1573. DOI: 10.3390/su16041573.
[3] J. Chen, L. Zhang, and G. Deng, (2024) “Research on the Multi-Agent Evolutionary Game Behavior of Joint Operation between Coal Power Enterprises and New Energy Power Enterprises under Government Supervision" Energies 17(18): 4553. DOI: 10.3390/en17184553.
[4] W. Chen, Y. Ma, and C. Bai, (2024) “Investment of Renewable Energy Storage Device in New Electricity Systems" Journal of Systems & Management 33(5): 1194–1203.
[5] Y. Fan, D. Chen, and H. Zheng, (2024) “The Impact of New Energy Demonstration Cities Construction on the Green Transition of Industrial Enterprises and Mechanism" Resources Science 46(9): 1685–1698.
[6] K. Gattupalli, V. S. B. H. Gollavilli, and G. Arulku maran, (2022) “Cloud-Based Big Data Solutions for Healthcare Information Systems: Integrating AI, Data Security, and Alzheimer’s Disease Diagnosis" International Journal of Current Research and Academic Review 10(6): 148–156.
[7] J. Guo, X. Yang, and X. Tan, (2024) “The Effect of Subsidy on Innovation Intentions and Innovation Behaviors of New Energy Enterprises" Progressus Inquisitiones de Mutatione Climatis 20(3): 373–383.
[8] Z. Ji, F. Savva, and Q. Zhu, (2024) “Market-Incentive Environmental Regulation and Performance of New Energy Vehicle Enterprises: Evidence from the Dual Credit Policy in China" Clean Technologies and Environ mental Policy 26(10): 3411–3426. DOI: 10.1007/s10098-024-02809-y.
[9] C. Liang, L. Zhu, and J. Zeng, (2024) “Analysis on the Impact of Media Attention on Energy Enterprises and Energy Transformation in China" Energy Reports 11: 1820–1833. DOI: 10.1016/j.egyr.2024.01.051.
[10] J. Xu, X. Huang, and S. Luo, (2024) “Production Decision-Making of Vehicle Enterprises and the Impact of Government Subsidies Based on Consumers’ Heterogeneous Preferences" Journal of Industrial Engineering and Engineering Management 38(5): 190–200.
[11] C. Zhang, J. Wang, S. Hu, Y. Wu, and W. Zhu, (2024) “Research on Mining High-Performance Path Rules for New Energy Enterprises from the Perspective of Social Responsibility: Empirical Data from China" Journal of Renewable and Sustainable Energy 16(2): DOI: 10.1063/5.0189232.
[12] W.Shi, (2021) “Research on the Influence of Accounting Computerization and Networking on E-Commerce" Journal of Wireless Communications and Networking 2021: 148. DOI: 10.1186/s13638-021-02024-z.
[13] N. Harikumar, (2024) “Balanced Performance Merit on Wind and Solar Energy Contact with Clean Environment Enrichment" IEEE Journal of the Electron Devices Society: 1–1.
[14] R. L. Kumar, R. Subramanian, and S. Karthik, (2021) “Hash Function Based Keyword Searchable Encryption Framework in Cloud Server Using MD5 and MECC" Journal of Information Hiding and Privacy Protection 3(4): 201–226.
[15] D. R. Natarajan, S. Peddi, D. T. Valivarthi, S. Narla, S. S. Kethu, and A. RS, (2023) “AI-Driven Cloud Solutions for Scalable and Secure Diabetes Prediction in Healthcare Systems" International Journal of Information Technology & Computer Engineering 11(3): 198.
[16] S. Jayanthi, R. L. Kumar, P. Punitha, B. A. Muthu, and C. B. Sivaparthipan, (2025) “Sustainable Energy Har vesting Techniques for Underwater Aquatic Systems with Multi-Source and Low-Energy Solutions" Sustainable Computing: Informatics and Systems 46: 101126. DOI: 10.1016/j.suscom.2024.101126.
[17] G. GaoandX.Liu, (2022) “Supply Chain Optimization of Small and Medium-Sized Enterprises Based on Evolutionary Game Model" Journal of Applied Science and Engineering 26(8): 1095–1101. DOI: 10.6180/jase. 202308_26(8).0005.
[18] B. Yang, Z. H. Tao, and W. Hong, (2024) “A Novel Pre diction Method Based on Improved Deep Mixture Density Network for Electricity Consumption, Photovoltaic Generation, and Net Demand of Smart Homes: Case Study for Sydney Metropolitan Area" Journal of Applied Science and Engineering 27(7): 2903–2916. DOI: 10. 6180/jase.202407_27(7).0014.
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