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Found 5 papers, 5 papers with code
Temporal Query Network for Efficient Multivariate Time Series Forecasting
In this paper, we propose a novel technique called Temporal Query (TQ) to more effectively capture multivariate correlations, thereby improving model performance in MTSF tasks.
Correlated Time Series Forecasting
Multivariate Time Series Forecasting
+1
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
The stable periodic patterns present in time series data serve as the foundation for conducting long-horizon forecasts.
Ranked #1 on
Time Series Forecasting
on Electricity (96)
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters
This paper introduces SparseTSF, a novel, extremely lightweight model for Long-term Time Series Forecasting (LTSF), designed to address the challenges of modeling complex temporal dependencies over extended horizons with minimal computational resources.
Ranked #2 on
Time Series Forecasting
on ETTh1 (720) Multivariate
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
To address these issues, we propose two novel strategies to reduce the number of iterations in RNNs for LTSF tasks: Segment-wise Iterations and Parallel Multi-step Forecasting (PMF).
Ranked #1 on
Time Series Forecasting
on Weather (192)
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer
Recently, the superiority of Transformer for long-term time series forecasting (LTSF) tasks has been challenged, particularly since recent work has shown that simple models can outperform numerous Transformer-based approaches.
Computational Efficiency
Multivariate Time Series Forecasting
+1
