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
Barriers to Renewable Energy Share of the Grid in the Context of Big Data and Countermeasures
Hao Cai
Hao Cai
School of Intelligent Manufacturing, Changzhou Vocational Institute of Technology
Changzhou, China
Search for this author on
Sciendo
|
Google Scholar
Cai, Hao
,
Jing Tang
Jing Tang
School of Intelligent Manufacturing, Changzhou Vocational Institute of Technology
Changzhou, China
Search for this author on
Sciendo
|
Google Scholar
Tang, Jing
and
Fei Feng
Fei Feng
School of Intelligent Manufacturing, Changzhou Vocational Institute of Technology
Changzhou, China
Search for this author on
Sciendo
|
Google Scholar
Feng, Fei
Aug 07, 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:
Aug 07, 2023
Received:
Sep 13, 2022
Accepted:
Feb 15, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00144
Keywords
Big data
,
Renewable energy
,
Power generators
,
Time-domain convolutional networks
,
Recurrent neural networks
© 2023 Hao Cai et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
