Historical Inertia: A Neglected but Powerful Baseline for Long Sequence
Time-series Forecasting

Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting

30 March 2021

Papers citing "Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting"

18 / 18 papers shown

Title
Dynamic Trend Fusion Module for Traffic Flow Prediction Jing Chen Haocheng Ye Zhian Ying Yuntao Sun Wenqiang Xu AI4TS 42 7 0 18 Jan 2025
EasyST: A Simple Framework for Spatio-Temporal Prediction J. Tang Wei Wei Lianghao Xia Chao Huang 54 1 0 10 Sep 2024
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting Zhiqi Shao Haoning Xi Haohui Lu Ze Wang Michael G. H. Bell Junbin Gao DiffM 30 1 0 08 Sep 2024
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting Yisong Fu Fei Wang Zezhi Shao Chengqing Yu Yujie Li Zhao Chen Zhulin An Yongjun Xu AI4TS 37 0 0 19 Aug 2024
Linear Attention is Enough in Spatial-Temporal Forecasting Xinyu Ning AI4TS 40 0 0 17 Aug 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces Jinhyeok Choi Heehyeon Kim Minhyeong An Joyce Jiyoung Whang Mamba 24 1 0 17 Jun 2024
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations Zongbao Zhang Jiao Hao Wenmeng Zhao Yan Liu Yaohui Huang Xinhang Luo 18 1 0 29 May 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting Zheng Dong Renhe Jiang Haotian Gao Hangchen Liu Jinliang Deng Qingsong Wen Xuan Song AI4TS 45 11 0 17 May 2024
ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction Zhiqi Shao Xusheng Yao Ze Wang Junbin Gao Mamba 19 0 0 24 Apr 2024
ST-Mamba: Spatial-Temporal Selective State Space Model for Traffic Flow Prediction Zhiqi Shao Michael G. H. Bell Ze Wang D. Geers Haoning Xi Junbin Gao Mamba 37 2 0 20 Apr 2024
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting Yujie Li Zezhi Shao Yongjun Xu Qiang Qiu Zhaogang Cao Fei Wang AI4TS GNN 25 4 0 19 Dec 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 42 4 0 31 Oct 2023
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting Hangcheng Liu Zheng Dong Renhe Jiang Jiewen Deng Jinliang Deng Quanjun Chen Xuan Song AI4TS 43 6 0 21 Aug 2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting Zepu Wang Yuqi Nie Peng Sun Nam H. Nguyen John M. Mulvey H. Vincent Poor AI4TS 24 22 0 14 Aug 2023
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Zezhi Shao Fei Wang Zhao Zhang Yuchen Fang G. Jin Yongjun Xu ViT AI4TS 35 5 0 27 Jul 2023
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting Zezhi Shao Zhao Zhang Fei Wang Wei Wei Yongjun Xu AI4TS 29 207 0 10 Aug 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 67 89 0 21 Mar 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,900 0 14 Dec 2020