LSTM-GAT networks based on ResNet structure for prediction of complex multivariable systems
Author:
Affiliation:
1. China University of Mining and Technology,Xuzhou,China
2. Northeastern University,College of Information Science and Engineering,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587396.pdf?arnumber=10587396
Reference23 articles.
1. Identification of Hammerstein systems with time delay under load disturbance
2. Multivariate time series forecasting via attention-based encoder–decoder framework
3. Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances
4. A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network
5. Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting
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