AI Applications for Drone of Things in the Power Sector

Abstract

Drones that are equipped with artificial intelligence and interconnected with the Internet of Things have revolutionized the monitoring, maintaining and managing of power infrastructure over the last decade. This Paper provides an overview of the background of the Drone of Things and basic components-and sets the stage for exposure that is much more detailed than what has been discussed on Artificial Intelligence applications in the electric power sector up to this point. Examining the cases highlights the significance of Artificial Intelligence enabled Drone of Things systems, particularly in enhancing infrastructure inspection, predictive maintenance, disaster response, energy theft detection and planning sites for renewable energy. This paper discusses fundamental Artificial Intelligence approaches utilized in practical applications such as computer vision, machine learning, deep learning, and natural language processing. This paper also addresses possible challenges to their implementation-such as regulation, integration, and the accuracy of Artificial Intelligence algorithms-and the limitations of Artificial Intelligence -enabled Drone of Things systems. In the future, new developments in 5G, edge computing, swarm intelligent systems, and advanced sensing systems will provide a wide range of new ways that Artificial Intelligence powered Drone of Things systems can be utilized in the electric sector. The following analysis gives an in-depth look into how Artificial Intelligence enabled Drone of Things are important for operation optimization, reliability enhancement, and providing safety to power systems. Those technologies will lead to many advances and improvements in the management and distribution of electricity in the energy sector over the coming years.