Popular GitHub Repositories for Energy Demand Forecasting

This project is a time series forecasting model using the Temporal Fusion Transformer (TFT) deep learning architecture. The model is trained and evaluated on the M4 competition dataset, achieving state-of-the-art results in multi-step forecasting tasks.

Experiments for the paper "Learning Causality Structures from Electricity Demand Data" using causal discovery tools to improve energy demand forecasting using energy consumption data from Argentina.