Multi-source heterogeneous data self-organizing mapping fusion method of distribution network based on gravitational search algorithm
Year: 2024
Type: conference-paper
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.
Language: English
Topic: Smart Grid and Power Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405257052
