Detecting Anomalous Users via Streaming Data Processing in Smart Grid

Kang, Yu; Wang, Xinting; Cao, Xin; Zhou, Yangfan; Lai, Zhichao; Li, Yuhao; Zhang, Xuqi; Geng, Wei

doi:10.1145/3230876.3230893

Cited by 4 publications

References 16 publications

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IAPSG: A Novel Intelligent Application Platform for Smart Grid

Zhou

Geng

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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As a basic infrastructure, the power grid nowadays plays a vital role in society. The huge network and lots of equipment bring about the complexity of management and maintenance. To solve this problem, an automatic, intelligent, and highly scalable computer system stays to be introduced. Based on the above, we propose a smart application cloud platform for smart grids. According to different needs, they can be integrated into corresponding field applications, such as power consumption anomaly detection, user clustering, and equipment status monitoring. This PaaS platform benefits from our rich IoT sensing devices and information network, which can provide all kinds of device information for high-level applications to achieve complex functions. In order to verify our proposed structure, we use anomaly detection smart applications for verification. Experiments show that our work greatly reduces the difficulty of developing smart applications and improves the management efficiency of smart grids.

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IAPSG: A Novel Intelligent Application Platform for Smart Grid

Zhou

Geng

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Leveraging Artificial Intelligence of Things for Anomaly Detection in Advanced Metering Infrastructures

Ogu

Ikerionwu

Ayogu

2021

2020 IEEE 2nd International Conference on Cyberspac (CYBER NIGERIA)

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Smart City System Design

et al. 2019

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Recent global smart city efforts resemble the establishment of electricity networks when electricity was first invented, which meant the start of a new era to sell electricity as a utility. A century later, in the smart era, the network to deliver services goes far beyond a single entity like electricity. Supplemented by a wellestablished Internet infrastructure that can run an endless number of applications, abundant processing and storage capabilities of clouds, resilient edge computing, and sophisticated data analysis like machine learning and deep learning, an already-booming Internet of Things movement makes this new era far more exciting. In this article, we present a multi-faceted survey of machine intelligence in modern implementations. We partition smart city infrastructure into application, sensing, communication, security, and data planes and put an emphasis on the data plane as the mainstay of computing and data storage. We investigate (i) a centralized and distributed implementation of data plane's physical infrastructure and (ii) a complementary application of data analytics, machine learning, deep learning, and data visualization to implement robust machine intelligence in a smart city software core. We finalize our article with pointers to open issues and challenges.

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Detecting Anomalous Users via Streaming Data Processing in Smart Grid

Cited by 4 publications

References 16 publications

IAPSG: A Novel Intelligent Application Platform for Smart Grid

IAPSG: A Novel Intelligent Application Platform for Smart Grid

Leveraging Artificial Intelligence of Things for Anomaly Detection in Advanced Metering Infrastructures

Smart City System Design

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