I. Introduction
The increasing use of electricity and the resulting reliance on it have highlighted the significance of effectively monitoring and analyzing electrical infrastructure in both home and business settings. This study focuses especially on the residential sector, which accounts for around 41% of total electricity waste. To solve this issue, a home energy monitoring system has emerged as a potential alternative, capable of producing significant energy savings ranging from 7.8% to 16.7% [1]. The use of a Node MCU microcontroller device linked with a Wi-Fi-based gateway is central to this system, allowing for the smooth inclusion of sensors and data synchronization with the Ada fruit IO cloud server [2]. This power monitoring gadget plays a critical role in improving energy efficiency by allowing customers to assess their electricity use and promoting behavioral changes. An efficient monitoring system must be capable of obtaining and organizing data obtained from the internet while also ensuring innovative and legal data display. Furthermore, the incorporation of a management system with both local and remote-control capabilities enables users to monitor their energy use more effectively and respond to any overcurrent circumstances.