An Advanced Artificial Intelligence-Driven Smart Home Towards Ontology-Based Energy Efficiency Management System

Due to rising household electricity consumption, the introduction of distributed new energy sources, the problem of making electricity more affordable for residential customers has received more attention. The research community and the industry have paid a lot of attention to Artificial Intelligence (AI), which has directed to its adoption in numerous real-world applications. A smart home, also known as an intelligent home, consists of smart technologies that are helped by AI. In this analysis, an advanced Artificial Intelligence-driven smart home towards ontology-based energy efficiency management system is presented. In this analysis, in order to increase user comfort and energy efficiency, a conceptual model of an AI-driven smart home is also described. Depending on the Advanced Metering Infrastructure (AMI), a framework for SHEMS is developed. The foundation of home data storage and scheduling is a local information management terminal. According to the results of the simulation, the described approach is efficient at reducing consumer delays and power consumption while also making them feel more at improve. Future energy efficiency research on smart homes will be significantly facilitated by the presented conceptual model.