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Short-term energy consumption prediction model of public buildings based on short-term memory network
更新时间：2025-05-26

    • Short-term energy consumption prediction model of public buildings based on short-term memory network

    • “In the field of energy consumption prediction in public buildings, experts have proposed a prediction model based on long short-term memory networks, which effectively improves prediction accuracy and robustness.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 7, Pages: 2009-2014(2024)
    • 作者机构：

      1.长江大学 城市建设学院，湖北 荆州 434023

      2.长江大学 文理学院，湖北 荆州 434020

    • DOI：10.13229/j.cnki.jdxbgxb.20230035    

      CLC： TP267

    • Received：11 January 2023，

      Published：01 July 2024

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  • ZHU Guo-qing,LIU Xian-cheng,TIAN Cong-xiang.Short-term energy consumption prediction model of public buildings based on short-term memory network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(07):2009-2014. DOI： 10.13229/j.cnki.jdxbgxb.20230035.

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