Tailoring Personalized IoT Services for Smart Buildings in Sustainable Environments Through Energy-Optimized Strategies

Abstract

In response to the rising global energy consumption attributed to domestic appliances, there is an urgent call to enhance sustainability in residential settings. While previous efforts have introduced the concepts of green and smart buildings, this paper sets out to offer a holistic solution for curbing energy consumption by pinpointing and rectifying irregular energy usage patterns. The central goal is to establish an eco-conscious smart building capable of adapting to a range of lifestyles. This is achieved through the implementation of an integrated network of Internet of Things (IoT) sensors, allowing for the monitoring and regulation of energy efficiency. The research delves into an in-depth analysis of various pivotal factors that influence energy consumption, with a particular emphasis on the identification and prediction of anomalies in energy usage. The objective is to optimize energy consumption patterns and achieve substantial energy savings through these predictive and corrective measures.