Photovoltaic power prediction for smart energy monitoring systems based on digital twins

Digital twin technology provides an innovative program for PV system monitoring, gradually replacing the traditional monitoring methods. By building a virtual model to link with the actual system, and collecting power generation parameters with sensors in real time, it realizes dynamic simulation of operation status and abnormal warning. Combining historical and real-time data, and through the corresponding algorithms, the technology can predict potential failures and initiate preventive maintenance, effectively reducing operation and maintenance costs, while improving system efficiency.