Deep Learning-Based Approach for Heat Transfer Efficiency Prediction with Deep Feature Extraction-Reference-Cited by-同舟云学术

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Deep Learning-Based Approach for Heat Transfer Efficiency Prediction with Deep Feature Extraction

Published:2022-08-24 Issue:35 Volume:7 Page:31013-31035
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Shi Yuanhao¹^ORCID,Li Mengwei¹,Wen Jie¹,Yang Yanru¹,Zeng Jianchao¹

Affiliation:

1. School of Electrical and Control Engineering, North University of China, Taiyuan 030051, China

Funder

Natural Science Foundation of Shanxi Province

National Natural Science Foundation of China

Shanxi Scholarship Council of China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c03052

Reference33 articles.

1. Non-Negligible Stack Emissions of Noncriteria Air Pollutants from Coal-Fired Power Plants in China: Condensable Particulate Matter and Sulfur Trioxide

2. The Rise and Decline of the Kerosene Kitchen: A Neglected Energy Transition in Rural America, 1870-1950

3. Fouling analysis of a shell and tube heat exchanger using local linear wavelet neural network

4. Understanding effect of phosphorus-based additive on ash deposition characteristics during high-sodium and high-calcium Zhundong coal combustion in drop-tube furnace

5. Investigations on fouling rate in convective bundles of coal-fired boilers in relation to optimization of sootblower operation

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