Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction

[PDF] arxiv.org

Deep Learning Methods for Adjusting Global MFD Speed Estimations to Local Link Configurations

Z Jin, D Tsitsokas, N Geroliminis, L Leclercq - arXiv preprint arXiv …, 2024 - arxiv.org
In large-scale traffic optimization, models based on Macroscopic Fundamental Diagram
(MFD) are recognized for their efficiency in broad analyses. However, they fail to reflect …
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[PDF] arxiv.org

Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction

W Zhu, D Zhang, B Long, J Xiao - arXiv preprint arXiv:2401.16453, 2024 - arxiv.org
Long-term traffic prediction has always been a challenging task due to its dynamic temporal
dependencies and complex spatial dependencies. In this paper, we propose a model that …
相关文章 所有 3 个版本
[PDF] preprints.org

[PDF][PDF] Hybrid GRU-TCN Deep Learning with SELU Activation for Solar Irradiance and Photovoltaic Power Forecasting

J Moon - 2024 - preprints.org
Accurate forecasting of solar irradiance and photovoltaic (PV) power generation is critical for
optimizing renewable energy integration and enhancing energy management systems. This …
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