Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders

Konrad Sundsgaard, Kutay Bölat, Guangya Yang

Electricity distribution cable networks suffer from incomplete and unbalanced data, hindering the effectiveness of machine learning models for predictive maintenance and reliabilit…