Analyzing and Managing Various Energy-Related Environmental Factors for Providing Personalized IoT Services for Smart Buildings in Smart Environment

More energy is consumed by domestic appliances all over the world. By reducing consumption, sustainability can be improved in contexts. Several earlier approaches to this problem have provided a conceptual overview of green and smart buildings. This paper aims provide better solution for consumption identifying fields abnormal consumption. It creates environment-friendly building adopt various lifestyles people. paper’s main objective monitor control efficiency buildings integrating IoT sensors. mainly analyzes prime factors that help improve Factors impacting are analyzed, outliers predicted optimized save energy. Various parameters derived from devices lighting HVAC controls, monitoring, envelope automation systems, renewable The used water, network convergence, electrical environmental monitoring also improving efficiency. uses generating data around it implementing an intelligent Information Communication Technology (ICT) model called Dynamic Semantic Behavior Data Analysis (DSBDA) Model analyze concerning dynamic changes environment user behavior sustainable lifestyle-based From analyzed output, power other abnormalities identified controlled manually or automatically regarding use