Wang et al. (2026) A novel temporal distribution smoothing alignment network for water level interval forecasting in hydropower systems

Identification

• Journal: Journal of Hydrology
• Year: 2026
• Date: 2026-04-01
• Authors: Jiayang Wang, Liangyu Pan, Xinran Li, Yang Zhou
• DOI: 10.1016/j.jhydrol.2026.135360

Research Groups

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Short Summary

This paper introduces a novel temporal distribution smoothing alignment network designed to improve water level interval forecasting in hydropower systems.

Objective

• To develop and apply a novel temporal distribution smoothing alignment network for enhanced water level interval forecasting in hydropower systems.

Study Configuration

• Spatial Scale: Not specified in the provided text.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: A novel temporal distribution smoothing alignment network
• Data sources: Not specified in the provided text.

Main Results

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Contributions

Introduces a novel temporal distribution smoothing alignment network, offering a new methodological approach to improve the accuracy and reliability of water level interval forecasting in hydropower systems.

Funding

Information not available in the provided text.

Citation

@article{Wang2026novel,
  author = {Wang, Jiayang and Pan, Liangyu and Li, Xinran and Zhou, Yang},
  title = {A novel temporal distribution smoothing alignment network for water level interval forecasting in hydropower systems},
  journal = {Journal of Hydrology},
  year = {2026},
  doi = {10.1016/j.jhydrol.2026.135360},
  url = {https://doi.org/10.1016/j.jhydrol.2026.135360}
}