Multi-source heterogeneous data self-organizing mapping fusion method of distribution network based on gravitational search algorithm

Abstract As a self-organizing mapping fusion method for multi-source heterogeneous data in distribution networks based on the GSA algorithm, efficient fusion is achieved through knowledge clustering and self-organizing iteration. Experiments have shown that when the running time is less than five seconds, the tracking error is precise, and the fusion effect is significant.