机译:基于分位数回归神经网络和三角核函数的短期电力负荷概率密度预测
Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China|Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Peoples R China|China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100048, Peoples R China;
Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China|Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Peoples R China;
China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100048, Peoples R China;
Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China|Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Peoples R China;
Load forecasting; Quantile regression neural network; Probability density forecasting; Triangle kernel function; Bandwidth selection method;
机译:基于Yeo-Johnson变换分位数回归和高斯核函数的短期电力负荷概率密度预测
机译:基于核支持向量分位数回归和Copula理论的短期电力负荷概率密度预测方法
机译:基于分位数回归卷积神经网络和EPANECHNIKOV内核密度估计的短期负荷概率预测
机译:基于分位数回归神经网络和核密度估计的耗电量区间预测
机译:神经网络方法用于电力系统短期负荷预测。
机译:土耳其电力市场中基于人工神经网络和SARIMA的电力负荷预测模型
机译:基于定量回归和内核密度估计的风速概率密度预测