基于集成学习的电动汽车充电站超短期负荷预测
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李恒杰, 朱江皓, 傅晓飞, 方陈, 梁达明, 周云
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Ultra-Short-Term Load Forecasting of Electric Vehicle Charging Stations Based on Ensemble Learning
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LI Hengjie, ZHU Jianghao, FU Xiaofei, FANG Chen, LIANG Daming, ZHOU Yun
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表2 16种不同算法基础回归器框架的名称与简称
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Tab.2 Names and abbreviations of 16 basic regression frameworks of different algorithms
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序号 | 算法名称 | 简称 | 1 | Light Gradient Boosting Machin | LGBM | 2 | Extra Trees Regressor | Et | 3 | Random Forest | Rf | 4 | Gradient Boosting Regressor | Gbr | 5 | Decision Tree | Dt | 6 | Bayesian Ridge | Br | 7 | Ridge Regression | Ridge | 8 | AdaBoost Regressor | Ada | 9 | Lasso Regression | Lasso | 10 | Linear Regression | Lr | 11 | Elastic Net | En | 12 | Orthogonal Matching Pursuit | Omp | 13 | Lasso Least Angle Regression | Llar | 14 | K Neighbors Regressor | Knr | 15 | Huber Regressor | Huber | 16 | Passive Aggressive Regressor | Par |
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