A survey of intelligent load monitoring in IoT-enabled distributed smart grids

Abstract

Power Load Monitoring has been a research hotspot since a few years ago. With development of artificial intelligence, construction of smart grid has become the most important part of power load monitoring. At the same time, task scheduling mechanism combined with the distributed IoT(Internet of Things) improves efficiency of smart grid. In this paper, applications of cloud/edge platform in the data acquisition, processing and scheduling of the IoT is introduced step by step, as well as applications and differences of artificial intelligence algorithm in each step, including Data Acquisition, Load Disaggregation, Load Forecasting and so on. Finally, combined with various optimization methods, future research directions are prospected, including data and network security issues, challenges faced by cloud/edge architecture, adaptive fine-grained Load Disaggregation, Load Forecasting.

Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey

“…Zhang et al [16] presented a comprehensive summary of current end-to-end secure communication scenarios and fundamental techniques. Liu et al [17] conducted an extensive survey covering various aspects of the security of 5G-IoT in the context of smart agriculture. Ahad et al [18] discussed technology trends and security considerations for 5G-IoT-based smart health applications.…”