3 papers
cs.LG2026
A Hybrid CNN-LSTM Intrusion Detection Framework for Cybersecurity in Smart Renewable Energy Grids
Sajib Debnath, Remon Das
The accelerated digitalization of renewable energy smart grids through IoT sensors, AMI, and SCADA systems has significantly expanded the attack surface for sophisticated cyberatta…
cs.LG2026
Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
Md Abubakkar, Sajib Debnath, Md. Uzzal Mia
Accurate short-term electricity load forecasting is a cornerstone of U.S. grid reliability; however, prevailing deep learning models remain opaque, limiting operator trust during e…
cs.LG2026
Bayesian Transformer for Probabilistic Load Forecasting in Smart Grids
Sajib Debnath, Md. Uzzal Mia
The reliable operation of modern power grids requires probabilistic load forecasts with well-calibrated uncertainty estimates. However, existing deep learning models produce overco…