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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
Accesso libero
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
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Tong, Cuizhi
,
Hui Zhang
Hui Zhang
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
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Zhang, Hui
,
Zhixin Wang
Zhixin Wang
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
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Wang, Zhixin
,
Yanzhi Liu
Yanzhi Liu
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
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Liu, Yanzhi
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Xiao Li
Xiao Li
State Grid Jibei Electric Power Company Limited Smart Distribution Network Center
Qinhuangdao, China
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Li, Xiao
29 nov 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Numero 1 (Gennaio 2024)
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Pubblicato online:
29 nov 2023
Ricevuto:
30 dic 2022
Accettato:
09 giu 2023
DOI:
https://doi.org/10.2478/amns.2023.2.01287
Parole chiave
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.
