A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method DOI
Dongmei Xu,

Xiao-xue Hu,

Wenchuan Wang

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 121719 - 121719

Опубликована: Сен. 22, 2023

Язык: Английский

Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine DOI
Jujie Wang, Quan Cui, Maolin He

и другие.

Chaos Solitons & Fractals, Год журнала: 2022, Номер 156, С. 111783 - 111783

Опубликована: Янв. 14, 2022

Язык: Английский

Процитировано

48
An overview of deterministic and probabilistic forecasting methods of wind energy DOI Creative Commons
Yuying Xie, Chaoshun Li,

Mengying Li

и другие.

iScience, Год журнала: 2022, Номер 26(1), С. 105804 - 105804

Опубликована: Дек. 14, 2022

In recent years, a variety of wind forecasting models have been developed, prompting necessity to review the abundant methods gain insights state-of-the-art development status. However, existing literature reviews only focus on subclass methods, such as multi-objective optimization and machine learning while lacking full particulars field. Furthermore, classification is unclear incomplete, especially considering rapid this Therefore, article aims provide systematic deterministic probabilistic from perspectives data source, model evaluation framework, technical background, theoretical basis, performance. It expected that work will junior researchers with broad detailed information for their future more accurate practical models.

Язык: Английский

Процитировано

46
A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions DOI
Hong Yang,

Zehang Liu,

Guohui Li

и другие.

Chemosphere, Год журнала: 2022, Номер 307, С. 135798 - 135798

Опубликована: Авг. 11, 2022

Язык: Английский

Процитировано

42
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction DOI
Guolian Hou, Junjie Wang, Yuzhen Fan

и другие.

Energy, Год журнала: 2023, Номер 286, С. 129640 - 129640

Опубликована: Ноя. 13, 2023

Язык: Английский

Процитировано

40
A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method DOI
Dongmei Xu,

Xiao-xue Hu,

Wenchuan Wang

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 121719 - 121719

Опубликована: Сен. 22, 2023

Язык: Английский

Процитировано

38