Ha Binh Minh, Nguyen Hoang An, Nguyen Minh Tuan. Multi-step-ahead time series forecasting based on CEEMDAN decomposition and temporal convolutional networks. In 2022 International Conference on Advanced Computing and Analytics (ACOMPA), Ho Chi Minh City, Vietnam, November 21-23, 2022. pages 54-59, IEEE, 2022. [doi]
@inproceedings{MinhAT22,
title = {Multi-step-ahead time series forecasting based on CEEMDAN decomposition and temporal convolutional networks},
author = {Ha Binh Minh and Nguyen Hoang An and Nguyen Minh Tuan},
year = {2022},
doi = {10.1109/ACOMPA57018.2022.00015},
url = {https://doi.org/10.1109/ACOMPA57018.2022.00015},
researchr = {https://researchr.org/publication/MinhAT22},
cites = {0},
citedby = {0},
pages = {54-59},
booktitle = {2022 International Conference on Advanced Computing and Analytics (ACOMPA), Ho Chi Minh City, Vietnam, November 21-23, 2022},
publisher = {IEEE},
isbn = {978-1-6654-6171-9},
}