Application of Unsupervised Learning Methods for Event Classification in the National Interconnected System

• Grant number: 25/15128-0
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2025
• End date: August 31, 2027
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Daniel Dotta
• Grantee: João Vitor Trevizoli
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition, AP.CCD

Abstract

The project investigates unsupervised learning techniques to classify events in power systems using PMU data, aiming for real-time analysis. Clustering and dimensionality reduction methods will be explored, avoiding manual labeling and enabling more efficient decision-making. (AU)