摘要
阐述电网安全管理中基于人工智能技术的威胁检测和应对策略,通过数据采集、预处理和深度学习技术,可有效识别异常行为,提高检测准确性。结合特征工程和选择方法,可优化模型性能。
This paper expounds the threat detection and response strategies based on artificial intelligence technology in power grid security management.Through data collection,preprocessing,and deep learning techniques,abnormal behavior can be effectively identified and detection accuracy can be improved.It combines feature engineering and selection methods to optimize model performance.
作者
王榕
石刚
唐龙波
郭文科
张伟东
WANG Rong;SHI Gang;TANG Longbo;GUO Wenke;ZHANG Weidong(Information and Communication Branch of State Grid Corporation of China,Beijing 100031,China;Gansu Tongxing Intelligent Technology Development Co.,Ltd.,Gansu 730050,China;State Grid Gansu Electric Power Company,Gansu 730046,China)
出处
《集成电路应用》
2024年第6期138-139,共2页
Application of IC
关键词
智能技术
电网威胁检测
数据采集
异常行为识别
intelligent technology
power grid threat detection
data collection
abnormal behavior recognition