Integration of IoT for Smart Energy Management: Advancing Home Automation and Power Efficiency
Journal Title: Journal of Intelligent Systems and Control - Year 2024, Vol 3, Issue 4
Abstract
The growing demand for energy, driven by urbanization and environmental concerns, has highlighted the need for innovative solutions in power management, particularly within residential and small business settings. This study presents a comprehensive smart home automation system, which is based on Internet of Things (IoT), designed to address these challenges. By integrating a smartphone application with Arduino-based hardware, the proposed system enables real-time remote operation, scheduling, and monitoring of electrical appliances. Bluetooth connectivity, coupled with advanced coding techniques, was employed to accurately measure power consumption and compute associated costs. The system's user interface was evaluated for its ease of use, responsiveness, and high accuracy, providing users with the ability to track energy usage trends, optimize appliance operation, and make informed decisions regarding energy consumption and cost management. Furthermore, the solution promotes sustainable energy practices by facilitating the reduction of unnecessary energy consumption. This scalable, cost-effective approach is poised to support the broader adoption of energy-efficient technologies. Future enhancements, such as integration with voice assistants and the addition of Wi-Fi connectivity, are expected to further expand the system's capabilities. The findings demonstrate the significant potential of IoT technologies to transform energy management and foster environmentally conscious behavior in smart homes.
Authors and Affiliations
Sayak Mukhopadhyay, Janmejay Gupta, Akshay Kumar
Performance Evaluation of a Sliding Mode Control-Kalman Filter-Based Mathematical Model for Altitude and Attitude Control in Quadcopters
This study presents an evaluation of a mathematical model designed for altitude and attitude control in quadcopters, employing Sliding Mode Control (SMC) in conjunction with the Kalman Filter algorithm. The developed mat...
Enhanced Control of Dual Star Induction Motor via Super Twisting Algorithm: A Comparative Analysis with Classical PI Controllers
In the field of industrial motor control, the inherent design complexity and operational challenge of dual star induction motor (DSIM) have made it a focus of research for many scholars. This study attempts to innovative...
A Systematic Review of Robotic Process Automation in Business Operations: Contemporary Trends and Insights
Robotic Process Automation (RPA), employing software robots or bots, has emerged as a pivotal technological advancement, automating repetitive, rule-based tasks within business operations. This leads to enhanced operatio...
Evaluation of the Accuracy and Consistency of Variable Reluctance Sensors for Turbine Speed Monitoring in Steam Turbine Generator 1.0 at Tambak Lorok CCPP
Accurate monitoring of turbine speed is essential for ensuring operational stability and efficiency in power generation systems, particularly within the context of low-carbon and renewable energy integration. This study...
Robust Neural Network-Based Trajectory Tracking Control for Mobile Vehicles
The ability of neural network-based control systems for trajectory tracking in wheeled mobile vehicles was evaluated in this study. A significant challenge often encountered is the deviation from the desired trajectory,...