Wind speed forecasting using deep learning and preprocessing techniques-Reference-Cited by-同舟云学术

Wind speed forecasting using deep learning and preprocessing techniques

Published:2023-07-02 Issue: Volume: Page:1-29
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Ammar Elham¹,Xydis George¹^ORCID

Affiliation:

1. Department of Business Development and Technology, Aarhus University, Herning, Denmark

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2023.2228878

Reference69 articles.

1. Current status of hybrid structures in wind forecasting

2. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

3. Allwright, S. (2022, August 15). What is a good MAPE score? (Simply explained). Stephen Allwright. https://stephenallwright.com/good-mape-score/

4. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

5. Ambrose, J., and J. A. E. Correspondent. 2020, August 5. China poised to power huge growth in global offshore wind energy. The Guardian. https://www.theguardian.com/environment/2020/aug/05/china-poised-to-power-huge-growth-in-global-offshore-wind-energy.

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