/AST

Adversarial Sparse Transformer for Time Series Forecasting

Primary LanguagePython

1. Download data

electricity: https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams 20112014 traffic: https://archive.ics.uci.edu/ml/datasets/PEMS-SF solar data： https://www.nrel.gov/grid/solar-power-data.html wind: https://www.kaggle.com/sohier/30-years-of-european-wind-generation

2. Preprocess data

python preprocess_data.py

3. Train and evaluate the model

python train_gan.py --dataset elect --model test --dataset The name of the preprocessed data --model the position of the specific params.json file under the folder of "experiments".