Open access
Sep 2026
Intelligent Forecasting of Smart Home Energy Consumption and Generation Based on Weather Variables
A proposed methodology guides the design, training, validation, and testing of various CFN-MLP and Cascade-Forward Network models, in which weather variables with the greatest impact on energy generation and consumption are selected for model inputs based on different correlation tests.
D. Stoitseva-Delicheva, S. Yordanova
· Applied Sciences · 0 citations