Forecasting the wind power generation in China by seasonal grey forecasting model based on collaborative optimization
RAIRO-Oper. Res., 55 5 (2021) 3049-3072
Published online: 2021-10-13
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
1397 124 (2025)
https://doi.org/10.1007/978-981-96-4059-1_12
An Improved Grey Prediction Model Integrating Periodic Decomposition and Aggregation for Renewable Energy Forecasting: Case Studies of Solar and Wind Power
Minghao Ran, Yingchao Wang, Qilu Qin, Jindi Huang and Jiading JiangSustainability 17 (11) 5009 (2025)
https://doi.org/10.3390/su17115009
Forecasting power generation of wind turbine with real-time data using machine learning algorithms
Asiye Bilgili and Kerem GülClean Technologies and Recycling 4 (2) 108 (2024)
https://doi.org/10.3934/ctr.2024006
(2024)
https://doi.org/10.21203/rs.3.rs-4494008/v1
543 (2024)
https://doi.org/10.1109/GPECOM61896.2024.10582566
Reliability analysis of torpedo loading based on fractional-order optimization model
Cheng Yang, Qingwei Liang, Xinyu Hao and Sheng LinJournal of Systems Engineering and Electronics 34 (3) 798 (2023)
https://doi.org/10.23919/JSEE.2023.000085
A novel adaptive discrete grey prediction model for forecasting development in energy consumption structure—from the perspective of compositional data
Wuyong Qian, Hao Zhang, Aodi Sui and Yuhong WangGrey Systems: Theory and Application 12 (3) 672 (2022)
https://doi.org/10.1108/GS-07-2021-0114