AI, machine learning, and internet of things (IoT) technologies are already being used by energy and utility firms (E & E&U) all over the world. For example, AI is being used to forecast electricity loads, reduce the time required for video monitoring tasks, and ensure the safety of drones. The Internet of Things (IoT) is frequently used in smart metering systems to combine data from many sources. In this post, we’ll look at how AI, machine learning, and IoT are being used in E&U businesses.
Artificial intelligence (AI) is the study of making robots think like humans and perform jobs that humans do, such as natural language processing, machine learning, expert systems, chatbots, and virtual assistants, and recommendation systems. AI is relevant for solving predicted problems in equipment repair and maintenance; it transforms the production, transmission, and consumption of power.
IoT technology uses multiple communication methods to collect data from objects (e.g., meters, power distribution units, and sensors). Smart metering systems, for example, combine data from telemetry meters read at electrical grid supply points and other sources.
Different AI technologies can be used to analyze the data—structure recognition algorithms or machine learning models can give an energy company’s customers information into their consumer behavior patterns. Furthermore, one can examine how long it takes specific consumers to turn on appliances after receiving a signal from the smart meter, allowing them to determine whether this process occurs fast or not.
