Conference
Open access
2026
Machine Learning-Based Intelligent Energy Management System for Smart Grid Using Renewable Energy Sources
The Machine Learning-Based Intelligent Energy Management System (ML-IEMS) proposed in this paper combines a hybrid CNN-LSTM model for short-term load and renewable generation forecasting with a Reinforcement Learning dispatch agent for real-time storage, demand response, and grid exchange scheduling.
N. Suganthi, S. Tamilselvan
· ITM Web of Conferences · 0 citations