This system enables seamless, real-time collection and transmission of critical parameters such as voltage and current from photovoltaic arrays, leveraging low-power Wi-Fi modules and advanced prediction algorithms. When operating solar–wind power plants (SWPPs) located in populated areas, cases of premature failure of expensive batteries and other power equipment often occur. The purpose of this study is to develop a wireless data acquisition system (DAS) for the operation of an SWPP with a feedback function. The wireless communication between devices is based on LoRa technology. Itnran Imran Hamid', HamidI, and Taufik' Taufik2 'Faculty IFaculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia Electrical Engineering. In this paper, IoT-based data acquisition and monitoring system is designed to diagnose module failures and remotely monitor for PVpowerplant'sperformance. Thecurrent,voltage,modulesurfacetemperature,and solar radiation values are measured for each PV module. These data are transmitted wirelessly to.
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