Volume 3,Issue 1
Fall 2025
Application Analysis of Data Analysis in Power Material Procurement Management
With the rapid development of China’s economy, the power industry, as an important national infrastructure and energy security, is accelerating its development speed. As an important component of the power industry, the procurement of power materials directly affects the stable operation and economic benefits of the power system. Especially in the power industry, procurement management plays a crucial role, and its efficiency and accuracy directly affect the construction and operation of power engineering. With the continuous development and application of big data technology, more and more power companies are beginning to apply big data technology to the bidding and procurement management of power materials, to improve efficiency, reduce costs, and ensure the accuracy of procurement.
1. Chen Q, 2023, Analysis of Digital Management and Control Strategy Based on Electric Power Marketing Big Data. Electronic Technology, 2023(12): 246–247.
2. Yang Y, 2020, The Improvement and Thinking of Electric Power Marketing Ability in the New Era. A Guide to a Happy Life, 2020(37): 99.
3. Wang YL, Liu ZT, Song XY, et al., 2024, Innovation Strategy of Power Marketing Management based on Big Data Background. Fortune Today, 2024(20): 11–13.
4. Wang YF, 2024, Transformation and Efficiency Improvement of Power Industry under the Environment of Big Data. Chinese Brand and Anti-counterfeiting, 2024(11): 210–212.
5. Zhang C, Jiang RN, He B, 2020, The Application of Industrial Big Data Analysis in the Process Manufacturing Industry. Electronics Industry Press, Beijing.
6. Huang ZM, 2024, Research on Supplier Credit Management in the Bidding Process of the Power Industry from the Perspective of Big Data. Shanghai Commercial, 2024(10): 163–165.
7. Zhu PF, 2024, Design and Implementation of Electric Power Information Management System based on Big Data. Information Recording Materials, 25(8): 150–152.
8. Yang T, 2024, The Application of Big Data Analysis in the Digital Operation of the Power Grid. 2024(5): 47–49.
9. Wen W, Liu YY, Yang R, 2023, Service Quality Assessment Method of Intelligent Training in the Power Industry based on Data Mining Algorithm. Hubei Agricultural Science, 62(1): 221–225.
10. Peng XH, Zhang L, Hu NQ, et al., 2024, Big Data Analysis and Application in the Digital Transformation of the Electric Power Industry. China High-tech, 2024(3): 99–101.