This study presents a comprehensive multidisciplinary review of autonomous monitoring and analysis of large- scale photovoltaic (PV) power plants using enabling technologies, namely artificial intelligence (AI), machine learning (ML), deep learning (DL), internet of things. This study presents a comprehensive multidisciplinary review of autonomous monitoring and analysis of large- scale photovoltaic (PV) power plants using enabling technologies, namely artificial intelligence (AI), machine learning (ML), deep learning (DL), internet of things. With the highest L4 CGC certification, the cutting-edge Smart I-V Curve Diagnosis facilitates instant identification of faulty modules and reduced reliance on manual inspection, saving time and costs. By integrating IoT-based solar power monitoring systems with advanced SCADA communication networks, operators can efficiently detect. This paper introduces a Trio-PV monitor: a smart IoT-based instrument for the continuous and accurate monitoring of solar PV systems. The instrument is a synergistic combination of electronic hardware, desktop applications and a website. It has been conceived to provide monitoring, storage, and. SOLARMAN HEMS provides smart home energy management, with its AI brain seamlessly integrating your solar panels, batteries, appliances, and EVs, continuously learning your patterns to optimize energy production, storage, and consumption in real time. Most solar installations rely on inverter-based monitoring, which focuses almost exclusively on how much.