Advanced Time Series Forecasting Project

Overview

This repository contains code and documentation for forecasting electricity load using deep learning models with uncertainty quantification.

Dataset

• Source: Kaggle Electricity Load Forecasting (continuous_dataset.csv)
• Frequency: Hourly
• Target: Load/Demand

Models

• LSTM with Monte Carlo Dropout
• LSTM with Quantile Regression

Evaluation Metrics

• RMSE, MAE, MAPE
• Coverage Probability, Interval Width
• CRPS

How to Run

1. Open the notebook in Google Colab
2. Mount Google Drive and set CONFIG paths
3. Run all cells to train and evaluate models
4. Results are saved in summary.md and plots folder