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Predicting-Energy-Consumption-using-ANN-with-PCA

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This 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.

Creat2025-03-08T11:45:40
Update2025-11-10T00:28:33
https://energy-demand-prediction.streamlit.app/
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