Deep learning for time series forecasting: a survey
Xiangjie Kong, Zhenghao Chen, Weiyao Liu et al.
2025 · International Journal of Machine Learning and Cybernetics · 213 citations
Abstract Time series forecasting (TSF) has long been a crucial task in both industry and daily life. Most classical statistical models may have certain limitations when applied to practical scenarios in fields such as energy, healthcare, traffic, meteorology, and economics, especially when high accuracy is required. With the continuous development of deep learning, numerous new models have emerged in the field of time series forecasting in recent years. However, existing surveys have not provided a unified summary of the wide range of model architectures in this field, nor have they given det…
Explore this paper's citation graph on Constellation.