A proposed hybrid ensemble of DA-RNN, CNN-LSTM, VAE, and Isolation Forest is said to outperform its components for anomaly forecasting in simulated nonlinear systems, but no numerical results are reported.
A novel model based on da-rnn and skip-gru for periodic time series forecasting,
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Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
A proposed hybrid ensemble of DA-RNN, CNN-LSTM, VAE, and Isolation Forest is said to outperform its components for anomaly forecasting in simulated nonlinear systems, but no numerical results are reported.