Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

J Zhang, D Tao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X ** optimal energy management of energy hub in the presence of stochastic renewable energy resources
E Shahrabi, SM Hakimi, A Hasankhani… - … Energy, Grids and …, 2021 - Elsevier
Increasing the implementation of distributed generation and introducing multi-carrier energy
systems highlight the need for energy hub systems. The energy hub is a new idea …

InsuDet: A fault detection method for insulators of overhead transmission lines using convolutional neural networks

X Zhang, Y Zhang, J Liu, C Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
One of the key tasks of the overhead line power equipment inspection based on aerial
images acquired by unmanned aerial vehicles is to determine whether the insulators are …

A fast and accurate method of power line intelligent inspection based on edge computing

M Liu, Z Li, Y Li, Y Liu - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
The combination of power intelligent inspection and edge computing plays a crucial role in
the construction of power Internet of Things and transparent power grid. However, as a …

Wildfire risk mitigation: A paradigm shift in power systems planning and operation

JW Muhs, M Parvania… - IEEE Open Access …, 2020 - ieeexplore.ieee.org
Managing the risk of wildfires has been arguably the biggest recent challenge of electric
utilities with infrastructure located in the wildland-urban interface. Utilities are deploying …