Research on the construction and optimization of personnel performance evaluation system in power enterprises based on big data and artificial intelligence

This study focuses on the performance appraisal system of power companies, deeply explores the application of big data and artificial intelligence technology, selects the random forest algorithm as the core analysis method, and successfully constructs a comprehensive evaluation model, aiming to accurately evaluate employee performance. This study was conducted in a specific department of a power company, and systematically implemented tests, covering multiple levels such as data collection, processing and real-time application of models. The system significantly improves the transparency and accuracy of performance management, and uses big data and artificial intelligence technology to innovate the employee performance evaluation system. This initiative not only greatly improves the psychological acceptance of the system by employees and management, but also significantly improves the overall operational efficiency and market competitiveness of the company.