A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting.
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| Title: | A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting. |
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| Authors: | Liu, Zhi-Feng1 (AUTHOR) liuzhifeng@tust.edu.cn, Liu, You-Yuan1 (AUTHOR) liuyouyuan@mail.tust.edu.cn, Chen, Xiao-Rui1 (AUTHOR) 21021127@mail.tust.edu.cn, Zhang, Shu-Rui1 (AUTHOR) zsr030923@mail.tust.edu.cn, Luo, Xing-Fu1 (AUTHOR) fu406699@mail.tust.edu.cn, Li, Ling-Ling1,2,3 (AUTHOR) lilinglinghebut@126.com, Yang, Yi-Zhou1 (AUTHOR) 22028121@mail.tust.edu.cn, You, Guo-Dong1 (AUTHOR) |
| Source: | Applied Energy. Apr2024, Vol. 360, pN.PAG-N.PAG. 1p. |
| Database: | Environment Complete |
| ISSN: | 03062619 |
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| DOI: | 10.1016/j.apenergy.2024.122785 |
