IoT-Based Smart Energy Management in Buildings: Real-Time Monitoring and Predictive Analytics for Sustainable Development

Abstract

The growing need for sustainable energy practices has brought significant attention to the deployment of smart technologies in the built environment. Internet of Things (IoT)-based Smart Energy Management Systems (SEMS) are rapidly transforming the way energy is monitored, analyzed, and consumed in residential, commercial, and urban infrastructures. This paper explores the integration of IoT sensors and predictive analytics for real-time energy management in buildings. It investigates how real-time monitoring helps in detecting anomalies, optimizing energy usage, and facilitating demand-side management. The paper also highlights applications in smart homes, commercial buildings, and urban development projects. Furthermore, it discusses the challenges and future opportunities associated with implementing these systems at scale. The results and models presented aim to provide stakeholders with practical insights for deploying sustainable and cost-efficient energy strategies through IoT-based solutions.

Keywords: IoT, Smart Energy Management, Predictive Analytics, Real-Time Monitoring, Smart Buildings, Sustainable Development, Energy Optimization, Demand Response, Building Automation