In recent times, the Internet of Things (IoT) has gained significant traction across various applications, particularly in power system networks for monitoring data from hybrid power distribution systems. Due to its ease of adaptability, IoT technology has become integral for remote system monitoring, with the ability to log data on cloud servers for further analysis of the monitored systems. By implementing an IoT-enabled system, the entire infrastructure becomes smarter, enhancing both the monitoring and performance analysis of power distribution networks. This study investigates the use of IoT technology to monitor a grid-connected hybrid system tailored for an educational institution, integrating photovoltaic (PV) sources. The system received deployment on the campus for monitoring and essential load management related to the hybrid setup functions. The critical load management utilized a Programmable Logic Controller (PLC), and data storage occurred on a MyQtt-based cloud server that received external inputs from the IoT device. User interaction became possible through a mobile application created with MIT App Inventor, which provided continuous data display on mobile interfaces. The application commands reached the PLC system to control loads connected to it. The Multifunction Meter (MFM) transmitted energy data toward the PLC through a Raspberry Pi gateway. The device project implemented Raspberry Pi as an IoT device, together with an ILC 131 ETH PLC to control loads. The IoT device, together with PLC, operated reliably during a 3-month evaluation period.