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Detection Of Multi-layer INterconnected Occurrences for Spatial Extreme Events

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PREP-NexT/DOMINO-SEE

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Overview | Features | Quick Start | Contribute | Roadmap | Citation

Overview

DOMINO-SEE (Dathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion) is a xxx model, offering xxx. It's developed by Hui-Min Wang and Xiaogang He from the PREP-NexT Lab at the National University of Singapore.

This project is licensed under the GNU General Public License 3.0.

Why the Name?

xxx

Key Features

  • xxx
  • xxx
  • xxx

Getting Started

This section includes a brief tutorial on running your first PREP-SHOT model.

  1. Clone the repo

    git clone https://github.com/PREP-NexT/PREP-SHOT.git
  2. Install the dependencies

    cd PREP-SHOT
    conda create -n prep-shot python=3.8
    conda activate prep-shot
    pip install -r requirements.txt
  3. Run your first model

    python run.py

🤝 How to Contribute

To contribute to this project, please read our Contributing Guidelines.

Contact Us

If you have any questions, comments, or suggestions that aren't suitable for public discussion in the Issues section, please feel free to contact Hui-Min Wang.

Please use the GitHub Issues for public discussions related to bugs, enhancements, or other project-related discussions.

Roadmap

  • Benders decomposition-based fast solution framework
  • PyOptInterface-based low-memory and fast modelling engine
  • Support for xxx
  • Support for xxx

Disclaimer

The DOMINO-SEE model is an academic project and is not intended to be used as a precise prediction tool for xxx purposes. The developers will not be held liable for any decisions made based on the use of this model. We recommend applying it in conjunction with expert judgment and other modeling tools in a decision-making context.


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