Predicting-Energy-Consumption-using-ANN-with-PCA
PublicThis project leverages Artificial Neural Networks (ANNs) with Principal Component Analysis (PCA) to predict energy demand efficiently. By reducing dimensionality while retaining 95% variance, the model achieves an R² score of 0.9815 and MAE of 523.71 MW. Deployed via Streamlit & GitHub.