T. Symon

Gradient-Descent based Short-Term Electricity Demand Forecasting: A Comparison with SARIMAX

A comparative analysis of two independent forecasting approaches: a statistical Seasonal AutoRegressive Integrated Moving Average with eXogenous variables (SARIMAX) model and a feature-enhanced gradient descent (GD) based learning model demonstrates that the gradient-based learning approach captures short-term load var...