A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting-Reference-Cited by-同舟云学术

A Bi-GRU-based encoder–decoder framework for multivariate time series forecasting

Published:2024-01-05 Issue:9-10 Volume:28 Page:6775-6786
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Balti Hanen^ORCID,Ben Abbes Ali^ORCID,Farah Imed Riadh

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09531-9.pdf

Reference32 articles.

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2. Balti H, Ben Abbes A, Mellouli N et al (2020) A review of drought monitoring with big data: issues, methods, challenges and research directions. Ecol Inform. https://doi.org/10.1016/j.ecoinf.2020.101136

3. Balti H, Abbes AB, Mellouli N et al (2021) Big data based architecture for drought forecasting using LSTM, ARIMA, and Prophet: case study of the Jiangsu Province, China. In: 2021 international congress of advanced technology and engineering, ICOTEN 2021. https://doi.org/10.1109/ICOTEN52080.2021.9493513

4. Chen J, Huang Z, Jin Q (2012) SPI-based drought characteristics analysis and prediction for Xiqiao Station in Yunnan Province, China. Disaster Adv 5(4):1260–1268

5. Deb C, Zhang F, Yang J et al (2017) A review on time series forecasting techniques for building energy consumption. Renew Sustain Energy Rev 74:902–924. https://doi.org/10.1016/j.rser.2017.02.085

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