electricalengineering

This project uses a Deep Neural Network (DNN) to forecast household appliance energy consumptionn based on the UCI Energy Dataset. The goal is to achieve a low Mean Squared Error (MSE) and capture realistic daily load patterns such as the evening energy peak between 17:00-20:00 when most families return home from work or other engagements.