智能电网异常检测方法综述

Preethi G, Anitha Kumari K
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引用次数: 1

摘要

. 智能电网等网络物理系统具有解决未来能源危机的潜力。由于智能电网中各个领域的信息是双向流动的,异常检测是与安全相关的主要挑战之一。机器学习模型已成为有前途的人工智能技术之一,用于对有监督和无监督数据进行建模,以进行分析和预测。本文综述了基于机器学习技术的智能电网基础设施中的各种异常检测方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Introductory Review Of Anomaly Detection Methods In Smart Grids
. Cyber Physical systems such as smart grids have the potential to address the future energy crisis. Because of the bidirectional flow of information across various domains in a smart grid, anomaly detection is one of the prime security related challenges. Machine learning models have emerged as one of the prospective artificial intelligence technologies to model supervised and unsupervised data for analysis and prediction. This paper reviews the various anomaly detection schemes in a Smart Grid Infrastructure based on machine learning techniques.
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