No. 01 : NOx Emission Prediction at Coal-Fired Power Plant based on TFT (Temporal Fusion Transformer)
This project is to develop NOx emission prediction model using deep learning method. We mainly used LSTM (Long Short Term Memory), which are widely used at NOx emission prediction area, and TFT (Temporal Fusion Transformer).
If you need more detailed information or collaboration, Please contact us!
- Team
| Member | Role | Google Scholar | C.V. | |
|---|---|---|---|---|
| Cheoljeong Park | Team leader | pffiro@gmail.com | site | C.V. |
| Changseong Kang | Member | kangcs4467825@gmail.com | site | C.V. |
| Donghyeon Choi | Member | ttcdh11@gmail.com | site | C.V. |
| Sangho Yum | Member | yshceline99@gmail.com | site | C.V. |
| Seong J. Cho | Advisor | scho@cnu.ac.kr | site | C.V. |
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CheoljeongParkand Advacnced Manufacturing Laboratory (AML).
Sponsored by2023-2025 AML undergraduate program
