TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
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Summary
The proposed TimesNet achieves consistent state-of-the-art in five mainstream time series analysis tasks, including short- and long-term forecasting, imputation, classification, and anomaly detection.
- Type
- preprint
- Published
- 2022-10-05
- Cited by
- 2,555
- References
- 52
- Access
- Open access
- OpenAlex
- https://openalex.org/W4303438998
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:252715491
Keywords
Computer science, Series (stratigraphy), Time series, Temporal database, Anomaly (physics)
References
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- The conference paper
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- Going deeper with convolutions
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- SWaT: a water treatment testbed for research and training on ICS security
- Aggregated Residual Transformations for Deep Neural Networks
- Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
- Forecasting at Scale
- Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
- Time-Series. 2nd edn.
- Forecasting: principles and practice
- The UEA multivariate time series classification archive, 2018
- Unsupervised Scalable Representation Learning for Multivariate Time Series
- Similarity of Neural Network Representations Revisited
- The Analysis of Time Series: An Introduction
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
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- CUTS+: High-dimensional Causal Discovery from Irregular Time-series
- Revisiting long-term time series forecasting: an investigation on affine mapping
- Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
- CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
- A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
- Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
- Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
- Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
- Improving *day-ahead* Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
- Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting
- MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting
- Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking
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- BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
- Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting
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