Intrusive Energy Management with advanced smart metering and monitoring using IoT

Abstract

Smart meters and the Internet of Things (IoT) have been widely used to completely replace analogue meters in today's smart home. It converts data collecting and meter readings to digital format. This study offers a novel Intrusive Energy Management (IEM) approach for energy monitoring, with the goal of developing an activity identification system based on the Internet of Things architecture. The appliances layer, perception layer, communication network layer, middleware layer, and application layer make up the proposed IoT architecture. The appliance recognition module's primary duty is to label sensor data and enable the installation of various home applications. Smart metering systems enable end-users to monitor their energy consumption while also providing key info on voltage stability. The grid operators use the data supplied by such systems for improving energy supply, and numerous strategies, such as load scheduling, demand side management, and non-intrusive load monitoring, could be utilized to do this. The article depicts an advanced smart metering infrastructure for use in future smart houses, where not only electricity usage but also gas, water, and heating consumption are tracked. Users can be aware of their entire energy use by monitoring all energy systems in the building, and advanced control techniques can be achieved using Smart Energy Management Systems (SEMS).