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20222026
most citedLSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data

9 citations · 14 across the 8 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cs.LG2024

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting

Xinxing Zhou, Jiaqi Ye, Shubao Zhao +6

In the context of global energy strategy, accurate natural gas demand forecasting is crucial for ensuring efficient resource allocation and operational planning. Traditional foreca…

cs.LG2024★ 2 cited

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting

Shubao Zhao, Ming Jin, Zhaoxiang Hou +4

Time series forecasting is a critical and challenging task in practical application. Recent advancements in pre-trained foundation models for time series forecasting have gained si…