Unsupervised Fusion Method for Multi-Spatio-Temporal Fault Data of Photovoltaic Power Stations

In this paper, an unsupervised fusion method for multi-spatio-temporal fault data of photovoltaic power station is proposed. The method is based on artificial intelligence technology, the invention aims to solve the problems of data distribution deviation and multi-source domain data fusion in the fault analysis of a photovoltaic power station. Fusing tagged PV station data constructs a fault analysis model for new stations, reducing training time and improving fault analysis efficiency and accuracy.