Author:
Dong Yuqi,Li Jing,Liu Zhenkun,Niu Xinsong,Wang Jianzhou
Funder
National Natural Science Foundation of China
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference55 articles.
1. Point and interval prediction for non-ferrous metals based on a hybrid prediction framework;Wang;Resour Policy,2021
2. Wang J, Li X, Zhou X, Zhang K. Ultra-short-term wind speed prediction based on VMD-LSTM. Dianli Xitong Baohu Yu Kongzhi/Power System Protection and Control 2020;48. https://doi.org/10.19783/j.cnki.pspc.190860.
3. A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting;Aly;Energy,2020
4. Negnevitsky M, Johnson P, Santoso S. Short term wind power forecasting using hybrid intelligent systems. 2007 IEEE Power Engineering Society General Meeting, PES, 2007. https://doi.org/10.1109/PES.2007.385453.
5. Wind speed forecasting in the South Coast of Oaxaca;Cadenas;México Renewable Energy,2007
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