mlsanityData to 7 Oct 2026

Recurrent Neural Networks for Time Series Forecasting

arXiv 1901.00069 ↗First posted 1 Jan 2019cs.LG stat.MLcited by 19

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Abstract (arXiv)

Time series forecasting is difficult. It is difficult even for recurrent neural networks with their inherent ability to learn sequentiality. This article presents a recurrent neural network based time series forecasting framework covering feature engineering, feature importances, point and interval predictions, and forecast evaluation. The description of the method is followed by an empirical study using both LSTM and GRU networks.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jan 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 4; 2023: 1; 2024: 5; 2025: 3; 2026: 3.

19 papers.

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  1. 2022Are Transformers Effective for Time Series Forecasting?cited by 1,400
  2. 2022Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practicescited by 54
  3. 2024ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysiscited by 26
  4. 2025TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-statecited by 16
  5. 2024Generative Pretrained Hierarchical Transformer for Time Series Forecastingcited by 15
  6. 2024xLSTMTime : Long-term Time Series Forecasting With xLSTMcited by 13
  7. 2026Reverso: Efficient Time Series Foundation Models for Zero-shot Forecastingcited by 11
  8. 2021Continuous-Depth Neural Models for Dynamic Graph Predictioncited by 7
  9. 2022Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Datacited by 3
  10. 2023Mlinear: Rethink the Linear Model for Time-series Forecastingcited by 3
  11. 2026DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecastingcited by 3
  12. 2026Channel-wise Retrieval for Multivariate Time Series Forecastingcited by 3
7 more
  1. 2021Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Networkcited by 2
  2. 2024Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationcited by 2
  3. 2024DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecastingcited by 2
  4. 2021A Comprehensive Review on Summarizing Financial News Using Deep Learningcited by 0
  5. 2022Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tacticscited by 0
  6. 2025Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecturecited by 0
  7. 2025Exploring the Role of Artificial Intelligence and Machine Learning in Process Optimization for Chemical Industrycited by 0