D. Janyavula

ML-Guided Coordinated EV Charging: LSTM Forecasting and Multi-Objective Optimization for Real-Time Grid Operation

The proposed framework improves operational stability, reduces computational burden, and enhances charging coordination compared with conventional forecasting and heuristic scheduling approaches, and demonstrates the feasibility and scalability of integrating Machine Learning (ML) based forecasting with real-time optimization for future smart-grid and EV energy management systems.