Open access
Sep 2026
A Hybrid Anomaly-Filtered Spatio-Temporal Framework for Robust Energy Demand Forecasting in Solar-Integrated Smart Grids
From the experiments’ outcomes, one can clearly see the superiority of the forecasting approach with respect to RMSE, MAE, MAPE, R2 and solar variance metrics, indicating the effectiveness of the suggested HASTRN algorithm.
G. S. Bibin, H. Vennila, M. Chinchu
· Applied Sciences · 0 citations