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
Refined Urban Grid Simulation Planning Based on Low Carbon Goal Achievement
Cuizhi Tong
Cuizhi Tong
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
Search for this author on
Sciendo
|
Google Scholar
Tong, Cuizhi
,
Hui Zhang
Hui Zhang
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
Search for this author on
Sciendo
|
Google Scholar
Zhang, Hui
,
Zhixin Wang
Zhixin Wang
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
Search for this author on
Sciendo
|
Google Scholar
Wang, Zhixin
,
Yanzhi Liu
Yanzhi Liu
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
Search for this author on
Sciendo
|
Google Scholar
Liu, Yanzhi
and
Xiao Li
Xiao Li
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
Search for this author on
Sciendo
|
Google Scholar
Li, Xiao
Nov 29, 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:
Nov 29, 2023
Received:
Dec 30, 2022
Accepted:
Jun 09, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.01287
Keywords
Time-series clustering method
,
Extreme scenario identification
,
Low carbon simulation model
,
Refined city
,
New grid planning
© 2023 Cuizhi Tong et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.