Smart Home Automation with Real-Time Energy Monitoring and Voice Control

The proposed smart home automation and energy monitoring system based on the ESP32 microcontroller has been successfully designed and implemented. The system integrates real-time appliance control with energy monitoring, enabling users to operate electrical devices through mobile applications and voice assistants such as Amazon Alexa and Google Assistant.   The experimental results demonstrate that the system provides reliable performance in terms of device control, real-time monitoring, and communication through cloud platforms such as ESP RainMaker and Sinric Pro. The voltage and current sensors effectively measured electrical parameters, and the ESP32 accurately calculated power and energy consumption, which were displayed on the LCD in real time. The inclusion of an overload protection mechanism enhances system safety by automatically disconnecting loads when the power exceeds a predefined threshold. Additionally, the integration of Natural Language Processing (NLP) through voice assistants improves user convenience by enabling hands-free control.   Overall, the system is cost-effective, scalable, and suitable for modern smart home applications. It can be further extended by incorporating additional sensors, data analytics, and machine learning techniques for advanced energy optimization and predictive control.

[1]   A. Stolojescu-Crișan, C. Crisan and B. Butunoi, “IoT-Based Smart Home Automation System,” Sensors, 2021. This paper presents an IoT-based smart home automation system that integrates sensors and actuators for real-time monitoring and control of household devices, improving user convenience and system efficiency.   [2]   M. A. Muhammed, A. H. Ali and S. M. Ahmed, “Design and Implementation of an IoT-Based Home Energy Monitoring System,” International Journal of Electrical and Computer Engineering, 2022. This research focuses on real-time energy monitoring using IoT technologies, providing accurate measurement of power consumption and enabling users to track and manage electricity usage effectively.   [3]   A. Verma and R. Singh, “IoT-Based Smart Home Automation with Voice Control Using ESP32,” International Journal of Innovative Research in Technology, 2023. This paper proposes a smart home automation system using ESP32 and voice assistants, demonstrating real- time control of appliances through voice commands and mobile applications. [4]   S. Sureshkumar, R. Karthikeyan and P. K. Singh, “IoT-Based Smart Home Energy Management System,” MDPI Proceedings, 2024. This study presents an advanced energy management system that integrates IoT sensors for monitoring and optimizing energy consumption in smart homes.   [5]   M. El-Khozondar, R. Jafar and M. A. Al-Khozondar, “A Smart Energy Monitoring System Using ESP32 Microcontroller,” 2024. This research highlights the use of ESP32 for real-time energy monitoring, demonstrating accurate measurement of electrical parameters and efficient system performance.   [6]   V. Kakani, S. Patel and R. Shah, “Smart Home Automation System Using ESP32 and IoT,” 2024. This paper describes a cost-effective smart home automation system using ESP32, focusing on remote control of appliances and integration with IoT platforms. [7]    R. K. Kodali, V. Jain and S. Bose,“IoT-Based Smart Home Automation Using ESP32 and Cloud Integration,” International Journal of Engineering Research & Technology (IJERT), 2023. This paper presents a cloud-based smart home automation system using ESP32, enabling real-time monitoring and control of household appliances through IoT platforms and mobile applications.