Machine learning and IoT will enable utilities to better realize the next generation of the grid rapidly coming at them: a distributed system with power flows among millions of things like distributed energy resources (DERs), microgrids and in-home devices. All of which will help utilities deliver more reliable energy and greater customer choice.
Deploying advanced analytics and Artificial Intelligence (AI) to unlock the power of IoT devices is already transforming the utility industry. Previously, Zpryme explored how the utility industry was using machine learning in coordination with the network connected devices that comprise the Internet of Things (IoT). Since then, the AI has become more powerful, and its ability to interpret the data captured from IoT devices has increased. This report explores how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
As the pace of digital technology adoption accelerates, AI and IoT will begin to fuse into an artificial intelligence of things (AIoT), where the devices deployed by utilities are able to simultaneously gather data and learn from it in real-time to improve enterprise decision making and operational efficiency. This survey examines the future state for utilities using AI and IoT, and the deployment challenges they currently face, and provides guidance on how to accelerate business value through AIoT.