Are Transformers Effective for Time Series Forecasting?
Authors: Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu
AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results on nine real-life datasets show that LTSF-Linear surprisingly outperforms existing sophisticated Transformer-based LTSF models in all cases, and often by a large margin. |
| Researcher Affiliation | Collaboration | Ailing Zeng1,2*, Muxi Chen1*, Lei Zhang2, Qiang Xu1 1The Chinese University of Hong Kong 2International Digital Economy Academy {zengailing, leizhang}@idea.edu.cn,{mxchen21, qxu}@cse.cuhk.edu.hk |
| Pseudocode | No | The paper does not contain any formally labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not include any explicit statement or link indicating the release of open-source code for the methodology described. |
| Open Datasets | Yes | We conduct extensive experiments on nine widely-used real-world datasets, including ETT (Electricity Transformer Temperature) (Zhou et al. 2021) (ETTh1, ETTh2, ETTm1, ETTm2), Traffic, Electricity, Weather, ILI, Exchange-Rate (Lai et al. 2017). |
| Dataset Splits | No | The paper mentions using training and testing data but does not explicitly provide details about validation dataset splits (e.g., percentages or counts). |
| Hardware Specification | Yes | it is unclear whether 1) the actual inference time and memory cost on devices are improved, and 2) the memory issue is unacceptable and urgent for today s GPU (e.g., an NVIDIA Titan XP here). |
| Software Dependencies | No | The paper does not provide specific version numbers for software dependencies or libraries used in the experiments. |
| Experiment Setup | Yes | We conduct extensive experiments on nine widely-used real-world datasets, including ETT (Electricity Transformer Temperature) (Zhou et al. 2021) (ETTh1, ETTh2, ETTm1, ETTm2), Traffic, Electricity, Weather, ILI, Exchange-Rate (Lai et al. 2017). ... The MSE results (Y-axis) of models with different look-back window sizes (X-axis) of long-term forecasting (T=720) on Electricity. ... the forecasting lengths {96, 192, 336, 720}. |