Research on air conditioning load prediction based on LSTM neural network

Author:

Lu Pengfei1,Deng Lan2,Yang Yurui2,Ma Liang1

Affiliation:

1. State Grid Zhejiang Electric Power Co., Ltd.,Hangzhou,China,310007

2. State Grid Jiaxing Electric Power Bureau.,Jiaxing,China,314500

Publisher

IEEE

Reference15 articles.

1. Research on influence of climate change on future building energy consumption in China’s typical climate regions[J];Li;Taiyangneng Xuebao/Acta Energiae Solaris Sinica,2020

2. An economic evaluation of refrigeration and air-conditioning system retrofit in large-scale public buildings: A case study of Beijing Capital International Airport Terminals

3. Based on a Nonlinear regression approach Air conditioning load prediction for shopping malls [J];Zhou;HVAC,2018

4. Improved seasonal exponential smoothing method for air conditioning prediction Load analysis [J];HO;Journal of Tongji University (Natural Science Edition),2005

5. Building demand based on grey theory Cold capacity prediction study [J];Xu;HVAC,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Short Term Prediction Technology of Regional Air Conditioning Based on Time Series Large Model;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

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