Academic Journal of Computing & Information Science, 2023, 6(9); doi: 10.25236/AJCIS.2023.060910.
Zijia Luo, Ruxin Zhang, Kang Tang, Wenwen Zhou
School of Electrical and Electronic Information, Xihua University, Chengdu, Sichuan, China
A short-term wind power prediction model based on similar historical meteorological data and WNN-HHO-BP neural network is proposed. Firstly, K-means clustering is used to classify the daily meteorological data into three classes as well as wavelet decomposition to decompose the data. Then, a BP neural network with Harris Hawk optimization algorithm and a BP neural network only are used for short-term prediction of wind power, and finally, the prediction results are derived and compared.
wind power prediction, Harris Hawk algorithm, wavelet analysis, BP neural network, k-means clustering, meteorological data
Zijia Luo, Ruxin Zhang, Kang Tang, Wenwen Zhou. A Short-Term Wind Power Prediction Model Based on Similar Historical Meteorological Data and WNN-HHO-BP Neural Network. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 9: 63-71. https://doi.org/10.25236/AJCIS.2023.060910.
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