Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy
发布时间：2024-12-28 点击数：
所属单位：电气工程学院
论文名称：Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy
发表刊物：2023 IEEE Industry Applications Society Annual Meeting, IAS 2023, 2023
第一作者：高弋典
论文编号：5450F696702F4C8E91AC44E8813CD79F
字数：6
是否译文：否
发表时间：2023-10