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Forecast and Trend Analysis of Water Demand in Guizhou Province Based on CNN-LSTM
更新时间：2026-02-26

    • Forecast and Trend Analysis of Water Demand in Guizhou Province Based on CNN-LSTM

    • “Guizhou Province's water resource management is facing challenges. Experts have constructed a CNN-LSTM model based on data and climate models from 2004 to 2023 to predict water resource supply and demand, providing scientific basis for addressing the impact of climate change.”
    • PEARL RIVER   Vol. 47, Issue 1, Pages: 11-22(2026)

    • DOI：10.3969/j.issn.1001-9235.2026.01.002    

      CLC： TV213.4

    • Received：03 June 2025，

      Revised：2025-07-09，

      Accepted：09 July 2025，

      Online First：23 July 2025，

      Published：25 January 2026

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  • LI Xi'nan,ZHU Feiyan.Forecast and Trend Analysis of Water Demand in Guizhou Province Based on CNN-LSTM[J].PEARL RIVER,2026,47(01):11-22. DOI： 10.3969/j.issn.1001-9235.2026.01.002.

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