ABSTRACT
This study investigates the performance of an IoT-based intelligent power system in re-newable energy sources through 10 experiment trials. Results showcase promising out-comes across critical metrics, notably an energy conversion efficiency ranging from 84.9% to 88.5%, and overall system efficiency between 91.8% and 93.5%. Response time averages between 10 and 12 milliseconds, while data accuracy ranges from 97.8% to 98.9%. Additionally, data processing time averages between 20 and 22 milliseconds. These findings underscore the system's capability to effectively utilize renewable energy resources while optimizing operational efficiency and reliability. The high energy conversion efficiency values highlight the system's proficiency in converting renewable inputs into usable electrical energy, minimizing losses in the process. Moreover, the overall sys-tem efficiency values reflect optimized energy flow management and minimal losses throughout the system. The rapid response time and accurate data processing capabilities further enhance system adaptability and decision-making in dynamic operational scenarios. These results emphasize the potential of IoT-based intelligent power systems to advance sustainability and resilience in energy infrastructure, facilitating the transition to-wards a greener
