Smart Load Balancing using Load Sharing Techniques

The proposed Arduino-based smart load management system was successfully designed, implemented, and tested. The system effectively integrates the Arduino Uno, NodeMCU, current and temperature sensors, relay modules, and IoT technology to achieve automatic load balancing and system protection. Real-time monitoring of voltage, current, power, and temperature enables efficient load management, while relay-based switching prevents overload conditions and improves system reliability. The IoT integration facilitates remote monitoring, enhancing user accessibility and overall operational efficiency. The experimental results demonstrate that the proposed system is a reliable and cost-effective solution for intelligent electrical load management. In the future, the system can be enhanced by integrating Artificial Intelligence (AI) and Machine Learning (ML) techniques for load prediction and intelligent decision-making. The proposed model can also be extended to three-phase power distribution and smart grid applications. Furthermore, the development of a dedicated mobile application and advanced cloud-based monitoring platform can provide remote control, real-time notifications, and improved system management.

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