机译:混合滤波器包装器功能选择,用于短期负荷预测
Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan 430074, PR China;
Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan 430074, PR China;
Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan 430074, PR China;
School of Design, Communication and Information Technology, Faculty of Science and Information Technology, The University of Newcastle, Callaghan, NSW 2308, Australia;
Short-term load forecasting; Feature selection; Firefly algorithm; Partial Mutual Information; Support vector regression;
机译:基于日期框架策略和改进的特征选择技术的短期负荷预测混合预测模型
机译:一种通过改进的蚱蜢优化算法和主要成分分析的因子和特征选择算法开发的混合短期负荷预测模型。
机译:混合神经网络和特征选择的基于小波集成的短期负荷预测方法
机译:短期电力负荷预测的集成特征选择方法
机译:在短期负荷预测中使用国内生产总值
机译:基于Fisher信息的气象因素短期负荷预测的引入和特点选择
机译:基于随机林特征选择和混合神经网络的多模型融合短期负荷预测