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AA-Forecast: Anomaly-Aware Forecast for Extreme Events

Instructions on setting up your project locally or on a cloud platform. To get a local copy up and running follow these simple example steps.

This is an example of how to list things you need to use the software and how to install them.

• Tensorflow 2.1.1
• Nvidia GPU

Datasets are located in the data folder:

credit-card-sales-covid-19.csv electricity.csv tax-sales-hurricane.csv

1. Clone the repo.

   git clone https://github.com/0415070/AA-RNN.git
   

2. Install requirement packages.

   pip install -r requirements.txt
   

3. Run model.py after the dataset has been gathered. You can use make_data.py for this.

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

The citation for the paper, code, and data is as below:

  title={AA-Forecast: Anomaly-Aware Forecast for Extreme Events},
  author={Farhangi, Ashkan and Bian, Jiang and Huang, Arthur and Xiong, Haoyi and Wang, Jun and Guo, Zhishan},
  journal={arXiv preprint arXiv:2208.09933},
  year={2022}
}