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Adversarial Sparse Transformer for Time Series Forecasting
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".