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机译:一种稳健的预测模型方向方法:对巴西天然气需求的应用
Department of Telecommunications and Control Engineering EPUSP-Polytechnic School of the University of Sao Paulo Sao Paulo Brazil;
Department of Production Engineering EPUSP Sao Paulo Brazil;
Department of Production Engineering EPUSP Sao Paulo Brazil;
Department of Production Engineering EPUSP Sao Paulo Brazil;
Graduate Energy Program of the Institute of Energy and Environment at the University of Sao Paulo Sao Paulo Brazil;
Graduate Energy Program of the Institute of Energy and Environment at the University of Sao Paulo Sao Paulo Brazil;
Robust least square; Second order cone programming; Demand forecast; Natural gas in Brazil;
机译:一种用于短期风速预测和分析的强大组合方法-使用GPR(ARIMA(自回归综合移动平均值),ELM(极限学习机),SVM(支持向量机)和LSSVM(最小二乘SVM)预测进行组合高斯过程回归模型
机译:分段线性添加剂模型的自动规范:在天然气需求预测中的应用
机译:灰色相关最小二乘支持向量机优化模型及其在预测天然气消耗需求中的应用
机译:孟加拉国电力部门天然气需求的计量经济学建模和预测
机译:预测天然气需求:天然气管道公司的主要关注点。
机译:家用能源需求的建模和预测
机译:考虑定期变化和需求隔离的日常天然气消费模型