Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Prediction of urban residential electricity security based on Verhulst grey model
Zhenjun Lu
Zhenjun Lu
,
Jiadong Chen
Jiadong Chen
and
Yufeng Zhang
Yufeng Zhang
| Sep 18, 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
Published Online:
Sep 18, 2023
Page range:
-
Received:
Dec 03, 2022
Accepted:
Mar 29, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00692
Keywords
Electric load monitoring
,
Load characteristics
,
Residual correction
,
Gray Verhulst model
© 2023 Zhenjun Lu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Zhenjun Lu
Nari Technology Co., Ltd
Nanjing, China
State Grid Electric Power Research Institute
Nanjing, China
Jiadong Chen
Nari Technology Co., Ltd
Nanjing, China
State Grid Electric Power Research Institute
Nanjing, China
Yufeng Zhang
Nari Technology Co., Ltd
Nanjing, China
State Grid Electric Power Research Institute
Nanjing, China