Web Based Real-Time Tracking of Home Appliance Energy Consumption

Abstract

The accelerating interest in smart cities and infrastructure is coupled with an urgent need for energy-saving measures, addressing the global challenge of conserving energy in the face of predominantly non-renewable resources. This literature survey investigates the intricate landscape of energy conservation, emphasizing the critical role of a precise and comprehensive monitoring infrastructure in understanding consumption patterns at a granular level.

With a focus on overcoming the persistent challenge of electrical energy loss, the survey explores the potential of Automatic Meter Reading (AMR), particularly utilizing power line communication channels. The integration of AMR with power line carrier technology is highlighted, responding to evolving structural changes in the utility industry that demand heightened meter performance and utility.

Modern programming and communication platforms are identified as key enablers, incorporating cutting-edge techniques that significantly influence industrial control performance. The survey delves into a diverse array of studies, encompassing the development of IoT-based edge devices, the integration of IoT sensors and web servers. This holistic exploration extends to understanding the tangible benefits of these technologies, particularly in the context of electrical appliance monitoring and control, showcasing their potential to drive down energy consumption and costs.

The survey's results underscore the transformative impact of smart power line communication monitoring and management systems in both residential and commercial settings. While highlighting their significant contributions, the survey emphasizes the need for further research to fully realize the potential of these technologies. Ultimately, this literature survey serves as a valuable resource for researchers, practitioners, and policymakers, providing insights into the ongoing development and deployment of smart power line communication monitoring and management systems.