A Hybrid Model Based on NeuralProphet and Long Short-Term Memory for Time Series Forecasting
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,School of Computer Science (National Pilot Software Engineering School),Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020471.pdf?arnumber=10020471
Reference43 articles.
1. Forecasting at scale;taylor;PeerJ PrePrints,2017
2. Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
3. DeepAR: Probabilistic forecasting with autoregressive recurrent networks
4. Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
5. Combining forecasts: Performance and coherence
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