Enhancing Power Consumption Prediction Using Dropout-Regularized Deep Learning
Accurate power consumption forecasting is important for energy management, smart grid operation, and efficient electricity utilization. Deep learning models can capture nonlinear relationships and temporal patterns in power consumption data, but their performance may be affected by overfitting. This study presents a co...