Open AccessIAPSG: A Novel Intelligent Application Platform for Smart Grid
Author(s) -
Min Zhou,
Jian Li,
Wei Geng,
Yan Tong,
Yuan Ma,
Xin Cao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042055
Subject(s) - smart grid , computer science , cloud computing , scalability , anomaly detection , distributed computing , cluster analysis , field (mathematics) , internet of things , embedded system , data mining , engineering , database , artificial intelligence , electrical engineering , mathematics , pure mathematics , operating system
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.