Research on Heating Load Prediction Model based on the Influence of Multiple Meteorological Elements using Deep Learning

Research on Heating Load Prediction Model based on the Influence of Multiple Meteorological Elements using Deep Learning

Accurate heating load forecasting is crucial for enhancing the efficiency of district heating systems and improving indoor comfort in buildings.This study takes Tianjin， a major city in northern China， as a case study.Based on hourly heating load and meteorological data from the heating season in 20...

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Bibliographic Details
Main Authors: Rui MIAO, Mingcai LI, Meiling SUN, Di PAN, Xifan ZHANG
Format: Article
Language:Chinese
Published: Science Press, PR China 2025-06-01
Series:Gaoyuan qixiang
Subjects:
meteorological factors
heating load prediction
narx neural network
centralized heating
Online Access:http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00099
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http://www.gyqx.ac.cn/EN/10.7522/j.issn.1000-0534.2024.00099

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