Optimization research approaches for wind power prediction

Author:

Zhou Shengyuan

Publisher

AIP Publishing

Reference7 articles.

1. Yu Pin. Review of Wind Speed and Wind Power Forecast Methods in Wind Farms [J]. Electronic Technology & Software Engineering, 2019(01): 214.

2. Zheng Guoqiang, Bao Hai, Chen Shuyong. Amending algorithm for wind farm penetration optimization based on approximate linear programming method [J]. Proceedings of the CSEE, 2004, 24(10): 68–71.

3. Dong Lei, Wang Lijie, Hu Shi, et al. Prediction of wind power generation based on chaotic phase space reconstruction models [C]. IEEE 7th International Conference on PEDS, Bangkok, Thailand, 2007.

4. Fan Gaofeng, Wang Weisheng, Liu Chun, Dai Huizhu. Wind Power Forecast Based on Artificial Neural Network [J]. Proceedings of the CSEE, 2008(34): 118–123.

5. Yang Xiuyuan, Xiao Yang, Chen Shuyong. Wind speed and generated gower forecasting in wind farm [J]. Proceedings of the CSEE, 2005, 25(11): 1–5. Sfsaf

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1. An improved BP neural network method for Wind Power Prediction;2022 IEEE 5th International Electrical and Energy Conference (CIEEC);2022-05-27

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