Knowledge-inspired data-driven prediction of overheating risks in flexible thermal-power plants-Reference-Cited by-同舟云学术

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Knowledge-inspired data-driven prediction of overheating risks in flexible thermal-power plants

Published:2024-06 Issue: Volume:364 Page:123185
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Wang Zhimin,Huang Qian,Liu Guanqing,Wang Kexuan,Lyu Junfu,Li Shuiqing

Publisher

Elsevier BV

Reference41 articles.

1. Electricity Market Report 2023 – Analysis,2024

2. The regional discrepancies in the contribution of China’s thermal power plants toward the carbon peaking target;Wang;Appl Energy,2023

3. Predictive control of a combined heat and power plant for grid flexibility under demand uncertainty;De Lorenzi;Appl Energy,2022

4. Diagnosing boiler tube failures related to overheating;Lobley;Adv Mat Res,2008

5. Chapter 3 - boiler tube failures: Some case studies;Saha,2016

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. An Interpretable Model for the Prediction of Performance Parameters in Thermal Power Plants Utilizing Expert Knowledge and Machine Learning;2024

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