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15 June 2022 Improved wind power output forecasting method based on combination of grey model and BP neural network
Jia Sun, Xuesong Qi, Zhenxin Li, Li Tian, Zehui Wang
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Proceedings Volume 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022); 122850R (2022) https://doi.org/10.1117/12.2637114
Event: International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022, Zhuhai, China
Abstract
The traditional grey prediction model has the problem of low prediction accuracy in wind power generation prediction. In this paper, an improved Grey prediction model is proposed by smoothing the original data, and a combination prediction model is constructed by combining it with BP neural network. The example shows that the accuracy of the improved optimal combination forecasting model is higher than that of the single forecasting model, and is better than that of the traditional optimal combination forecasting model.
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Jia Sun, Xuesong Qi, Zhenxin Li, Li Tian, and Zehui Wang "Improved wind power output forecasting method based on combination of grey model and BP neural network", Proc. SPIE 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 122850R (15 June 2022); https://doi.org/10.1117/12.2637114
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KEYWORDS
Wind energy
Neural networks
Data modeling
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