面向新型电力系统的研究生“机器学习”课程改革与实践

Reform and Practice of “Machine Learning” Course for Postgraduates Oriented towards New Power Systems

摘要: 面向新型电力系统发展需求，针对当前研究生“机器学习”课程存在理论分析不深、实战能力不足、教学方式单一等问题，探索以“数学原理分析 + 应用场景驱动 + 实践演练”三位一体的教学模式改革路径。通过升级教学内容、优化教学方法、拓展教学平台，提升学生理论素养、工程能力与跨界创新意识，为人工智能技术在电力行业的深度融合提供高质量人才支撑。

Abstract: To address the development needs of new power systems and overcome existing issues in the “Machine Learning” graduate course—including insufficient theoretical analysis, lack of practical competence, and monotonous teaching methods, this research explores a three-pronged teaching reform model. It integrates “mathematical principle analysis, application scenario-driven learning, and practical implementation”. Through upgrading the teaching content, optimizing the pedagogical methods, and expanding the teaching platforms, this reform is designed to elevate students’ theoretical knowledge, engineering abilities, and interdisciplinary innovation awareness, cultivating high-quality talent to support the deeper integration of artificial intelligence in the power industry.