A new dynamic security assessment framework based on semi-supervised learning and data editing

Electric Power Systems Research(2019)

引用 23|浏览10
暂无评分
摘要
•Penetration of renewables increases diversity of power system operation conditions.•Semi-supervised training reduces labeled training data for DSA updating.•Data editing helps to improve performance of a tri-training trained classifier.•Tri-training can help to speed up online DSA classifier updating.
更多
查看译文
关键词
Dynamic security assessment,Transient stability,Machine learning,Semi-supervised learning,Data editing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要