OPTIMIZING ELECTRICITY NETWORKS WITH SELJE TOPOLOGICAL SPACE,TDA AND R PROGRAMMING

Abstract

Optimizing energy consumption in electricity networks requires identifying critical transformers that significantly impact operational efficiency. This optimization approach integrates Topological Data Analysis (TDA) to process field-collected data, providing a precise method for analyzing network structure. Selje Topological Space is utilized to detect key transformers and evaluate their influence on energy distribution and system resilience. R programming is employed to generate visualizations that clarify critical network components. This method enhances the management of energy distribution, particularly during peak demand or
challenging conditions, offering a scalable solution adaptable to various network sizes.