AI DRIVEN REAL TIME MONITORING AND PREDICTIVE ANALYTICS FOR DISTRIBUTED ENERGY RESOURCES IN MICROGRID
Esteves Bengui | MEL Candidate | Nov 29, 2025 Mentor: Airton Dudzevich ABSTRACT This project demonstrates a promising framework for renewable energy forecasting in environments constrained by limited historical data. By fusing physics-based modeling with GAN-powered corrections, we successfully created a workflow that circumvents the ‘cold start’ problem. While the forecasting models proved sensitive to […]
