Real-Time Big Data Processing with IoT Sensors for Intelligent Energy Management in Smart Residential Environments

Authors

  • Deepak Khamitkar, Prashanthi Chinthala

Keywords:

IoT Sensors, Energy Management, Big Data Analytics, Smart Homes, Artificial Intelligence.

Abstract

The incorporation of IoT technologies into home energy management systems facilitates the most advanced approaches to mitigating excessive energy use. This research examines the possibilities for real-time IoT-enabled monitoring and control of automated systems for smart energy homes. For automated control systems of HVAC systems and lighting, real-time adjustments and control systems based on occupancy, temperature, and power consumption, and forecast predictive control systems for energy management have been integrated. Big data analytics supports decision-making around inefficient consumption patterns. Moreover, AI algorithms that drive predictive analytics streamline the forecasting of a predetermined energy management plan. IoT-enabled intelligent energy management systems provided real-world proof of concept for the reduction of energy expenditure and consumption at the household level. The smart home energy sustainability initiative in this research incorporates big data analytics and IoT for the first time in the literature.

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Published

30.12.2025

How to Cite

Deepak Khamitkar. (2025). Real-Time Big Data Processing with IoT Sensors for Intelligent Energy Management in Smart Residential Environments. International Journal of Intelligent Systems and Applications in Engineering, 13(2s), 281 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/8168

Issue

Vol. 13 No. 2s (2025)

Section

Research Article

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