Data-driven analysis and prediction of indoor characteristic temperature in district heating systems-Reference-Cited by-同舟云学术

Data-driven analysis and prediction of indoor characteristic temperature in district heating systems

Published:2023-11 Issue: Volume:282 Page:129023
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Yanmin,Li Zhiwei,Liu Junjie,Pei Mingzhe,Zhao Yan,Lu Xuan

Funder

Department of Science and Technology of Liaoning Province

China Science and Technology Exchange Center

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference50 articles.

1. Annual development research report on building energy conservation in China 2022,2022

2. Field tests on the operational energy consumption of Chinese district heating systems and evaluation of typical associated problems;Zhang;Energy Build,2020

3. Evaluation of a feedback control method for hydronic heating systems based on indoor temperature measurements;Dahlblom;Energy Build,2018

4. A review of the potential of district heating system in Northern China;Zhang;Appl Therm Eng,2021

5. Novel effective room temperature-based predictive feedback control method for large-scale district heating substation;Li;Appl Therm Eng,2023

Cited by 3 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. A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement;Renewable and Sustainable Energy Reviews;2024-10

2. A control strategy considering buildings’ thermal characteristics to mitigate heat supply-demand mismatches in district heating systems;Energy;2024-10

3. Analysis of equivalent energy storage for integrated electricity-heat system;Energy;2024-09