Papers with Code · CC BY-SA 4.0

Time Series Forecasting

627 평가 기록 134 datasets

Time Series Forecasting is the task of fitting a model to historical, time-stamped data in order to predict future values. Traditional approaches include moving average, exponential smoothing, and ARIMA, though models as various as RNNs, Transformers, or XGBoost can also be applied. The most popular benchmark is the ETTh1 dataset. Models are typically evaluated using the Mean Square Error (MSE) or Root Mean Square Error (RMSE).

<span style="color:grey; opacity: 0.6">( Image credit: ThaiBinh Nguyen )</span>

논문

Effective Benchmarks for Optical Turbulence Modeling

2401.03573 2024-01-07 이 페이지의 평가 6건

RMSE: 0.428

Long-term series forecasting with Query Selector -- efficient model of sparse attention

2107.08687 2021-07-19 이 페이지의 평가 3건

MSE: 0.0548MAE: 0.183

Are Transformers Effective for Time Series Forecasting?

2205.13504 2022-05-26 이 페이지의 평가 2건

MSE: 0.394MAE: 0.436

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

2012.07436 2020-12-14 이 페이지의 평가 2건

MSE: 0.046MAE: 0.152

Mixture-of-Linear-Experts for Long-term Time Series Forecasting

2312.06786 2023-12-11 이 페이지의 평가 2건

MSE: 0.409

xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

2412.17323 2024-12-23 이 페이지의 평가 2건

MSE: 1.254MAE: 0.686

A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting

2023-05-28 이 페이지의 평가 1건

MAE: 0.129

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

2211.14730 2022-11-27 이 페이지의 평가 1건

MSE: 0.379MAE: 0.422

Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting

2411.17257 2024-11-26 이 페이지의 평가 1건

MSE: 0.375

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

2205.08897 2022-05-18 이 페이지의 평가 1건

MSE: 0.439MAE: 0.456

Long-term Forecasting with TiDE: Time-series Dense Encoder

2304.08424 2023-04-17 이 페이지의 평가 1건

MSE: 0.419MAE: 0.451

LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting

2024-10-21 이 페이지의 평가 1건

MSE: 0.407MAE: 0.439

PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

2310.00655 2023-10-01 이 페이지의 평가 1건

MSE: 0.393MAE: 0.426

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting

2408.10483 2024-08-20 이 페이지의 평가 1건

MSE: 0.396

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

2305.10721 2023-05-18 이 페이지의 평가 1건

MSE: 0.372MAE: 0.421

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

2106.09305 2021-06-17 이 페이지의 평가 1건

MSE: 0.475MAE: 0.488

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

2308.11200 2023-08-22 이 페이지의 평가 1건

MSE: 0.394MAE: 0.424

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting

2405.06419 2024-05-10 이 페이지의 평가 1건

MSE: 0.434MAE: 0.446

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

2306.09364 2023-06-14 이 페이지의 평가 1건

MSE: 0.395MAE: 0.436