Skip to content
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
State monitoring and fault detection for convolutional neural network integrated energy systems
Yan Li
Yan Li
Zaozhuang Power Supply Company of State Grid Shandong Electric Power Company
Zaozhuang, China
Search for this author on
Sciendo
|
Google Scholar
Li, Yan
,
Guoliang Li
Guoliang Li
Zaozhuang Power Supply Company of State Grid Shandong Electric Power Company
Zaozhuang, China
Search for this author on
Sciendo
|
Google Scholar
Li, Guoliang
,
Yujiao Liu
Yujiao Liu
Zaozhuang Power Supply Company of State Grid Shandong Electric Power Company
Zaozhuang, China
Search for this author on
Sciendo
|
Google Scholar
Liu, Yujiao
,
Ruiqi Wang
Ruiqi Wang
State Grid Shandong Integrated Energy Service Co., Ltd
Jinan, China
Search for this author on
Sciendo
|
Google Scholar
Wang, Ruiqi
and
Qingqing Chi
Qingqing Chi
State Grid Shandong Integrated Energy Service Co., Ltd
Jinan, China
Search for this author on
Sciendo
|
Google Scholar
Chi, Qingqing
Oct 17, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Oct 17, 2023
Received:
Jan 04, 2023
Accepted:
Apr 27, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00699
Keywords
<kwd>Kuznets curve</kwd>
,
<kwd>Green Solow model</kwd>
,
<kwd>Decoupling development theory</kwd>
,
<kwd>Total energy consumption</kwd>
,
<kwd>Carbon emissions</kwd>
© 2023 Yan Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
