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
Research on Risk Prediction of New Energy Photovoltaic Power Projects Oriented to Extreme Weather Conditions
Yanjun Qiao
Yanjun Qiao
,
Zhijian Wang
Zhijian Wang
,
Junfeng Yu
Junfeng Yu
,
Shouli Hao
Shouli Hao
,
Zhengmao Dong
Zhengmao Dong
and
Ke Fan
Ke Fan
| Jul 02, 2024
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:
Jul 02, 2024
Page range:
-
Received:
Mar 07, 2024
Accepted:
Jun 01, 2024
DOI:
https://doi.org/10.2478/amns-2024-1571
Keywords
Photovoltaic power
,
Risk prediction
,
Extreme weather
,
Gray model
,
CEMD-LSTM model
© 2024 Yanjun Qiao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.