An innovative interpretable combined learning model for wind speed forecasting

Author:

Du Pei,Yang Dongchuan,Li Yanzhao,Wang Jianzhou

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference74 articles.

1. A convolutional transformer-based truncated Gaussian density network with data denoising for wind speed forecasting;Wang;Appl Energy,2023

2. Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz’s theory;Zhang;Expert Syst Appl,2022

3. Novel wind speed forecasting model based on a deep learning combined strategy in urban energy systems;Hao;Expert Syst Appl,2023

4. A novel combined forecasting system based on advanced optimization algorithm - a study on optimal interval prediction of wind speed;Li;Energy,2023

5. Short-term wind speed forecasting based on spatial-temporal graph transformer networks;Pan;Energy,2022

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