Experiment Science and Technology, Volume. 21, Issue 5, 1(2023)
Photovoltaic Power Prediction Fusion Algorithm Based on Improved Feature Selection
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Table 1. [in Chinese]
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参数名称 参数值 Nthread −1 Learning rate 0.05 Objective ‘regsquarederror’ Booster ‘gbtree’ Gamma 0.3 Max depth 15 Subsample 0.75
Table 2. [in Chinese]
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模型 MSE MAPE/% RMSE NRMSE/% VAF/% RCoV 权值遍历融合 1.069 7.51 1.034 6.11 96.49 0.221 MLP融合模型 3.615 12.76 1.901 3.28 88.04 0.283 XGBoost模型 1.113 7.75 1.055 6.53 96.34 0.226 LightGBM模型 1.078 7.53 1.038 6.24 96.46 0.221 MLP模型 1.227 9.61 1.107 4.23 95.99 0.226
Table 3. [in Chinese]
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模型 MSE MAPE/% RMSE NRMSE/% VAF/% RCoV 权值遍历融合 1.054 17.08 1.026 7.17 94.23 0.567 MLP融合模型 0.873 15.85 0.934 4.32 96.20 0.682 XGBoost模型 1.103 18.69 1.050 7.91 91.90 0.581 LightGBM模型 1.497 15.50 1.223 8.02 91.90 0.601 MLP模型 1.951 23.93 1.397 6.02 89.44 0.553
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Huaying SU, Rongrong WANG, Yan ZHANG, Shengli LIAO, Guosong WANG, Jiang DAI. Photovoltaic Power Prediction Fusion Algorithm Based on Improved Feature Selection[J]. Experiment Science and Technology, 2023, 21(5): 1
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Received: Sep. 9, 2022
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Published Online: Nov. 28, 2023
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