TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting
Author:
Funder
National key research and development program
Regional Innovation and Development Joint Fund of NSFC
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04987-6.pdf
Reference41 articles.
1. Shen F, Liu J, Wu K (2020) Multivariate time series forecasting based on elastic net and high-order fuzzy cognitive maps: a case study on human action prediction through EEG signals. IEEE Trans Fuzzy Syst 29(8):2336–2348. https://doi.org/10.1109/TFUZZ.2020.2998513
2. Han L, Du B, Sun L, Fu Y, Lv Y, Xiong H (2021) Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 547–555 https://doi.org/10.1145/3447548.3467275
3. Kavaklioglu K (2011) Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression. Appl Energy 88(1):368–375
4. Gan Z, Li C, Zhou J, Tang G (2021) Temporal convolutional networks interval prediction model for wind speed forecasting. Electr Power Syst Res 191:106865. https://doi.org/10.1016/j.epsr.2020.106865
5. Sezer OB, Gudelek MU, Ozbayoglu AM (2020) Financial time series forecasting with deep learning: A systematic literature review: 2005–2019. Appl Soft Comput 90:106181. https://doi.org/10.1016/j.asoc.2020.106181
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