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Covariates provide valuable information on external factors that influence time series and are critical in many real-world time series forecasting tasks.
How not to lie with statistics: the correct way to summarize benchmark results
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Monash time series forecasting archive
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Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
J. Lago, G. Marcjasz, B. De Schutter, and R. Weron · 2021
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Temporal fusion transformers for interpretable multi-horizon time series forecasting
B. Lim, S. Ö. Arık, N. Loeff, and T. Pfister · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
H. Zhou, S. Zhang, J. Peng, S. Zhang, J. Li, H. Xiong, and W. Zhang · 2021
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StatsForecast: Lightning fast forecasting with statistical and econometric models
F. Garza, M. M. Canseco, C. Challú, and K. G. Olivares · 2022
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K. G. Olivares, C. Challu, G. Marcjasz, R. Weron, and A. Dubrawski · 2023
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Modular deep learning
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Autogluon–timeseries: Automl for probabilistic time series forecasting
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A decoder-only foundation model for time-series forecasting
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K. G. Olivares, C. Challú, F. Garza, M. M. Canseco, and A. Dubrawski · 2022
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Nhits: Neural hierarchical interpolation for time series forecasting
C. Challu, K. G. Olivares, B. N. Oreshkin, F. G. Ramirez, M. M. Canseco, and A. Dubrawski · 2023
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TSMixer: An all-MLP architecture for time series forecast-ing
S.-A. Chen, C.-L. Li, S. O. Arik, N. C. Yoder, and T. Pfister · 2023
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ForecastPFN: Synthetically-trained zero-shot forecasting
S. Dooley, G. S. Khurana, C. Mohapatra, S. Naidu, and C. White · 2023
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A time series is worth 64 words: Long-term forecasting with transformers
Y. Nie, N. H. Nguyen, P. Sinthong, and J. Kalagnanam · 2023
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A. Das, W. Kong, R. Sen, and Y. Zhou · 2024
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Tiny time mixers (ttms): Fast pre-trained models for enhanced zero/few-shot forecasting of multivariate time series
V. Ekambaram, A. Jati, P. Dayama, S. Mukherjee, N. Nguyen, W. M. Gifford, C. Reddy, and J. Kalagnanam · 2024
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MOMENT: A family of open time-series foundation models
M. Goswami, K. Szafer, A. Choudhry, Y. Cai, S. Li, and A. Dubrawski · 2024
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Benchmarks and custom package for energy forecasting, 2024
Z. Wang, Q. Wen, C. Zhang, L. Sun, L. V. Krannichfeldt, S. Pan, and Y. Wang · 2024
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Unified training of universal time series forecasting transformers
G. Woo, C. Liu, A. Kumar, C. Xiong, S. Savarese, and D. Sahoo · 2024
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