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机译:使用时空经验克里金法和带参数收缩的矢量自回归模型进行太阳辐照度预测
Solar Energy Research Institute of Singapore (SERIS), National University of Singapore, 7 Engineering Drive 1,Block E3A, #06-01, 117574 Singapore, Singapore,Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Block E4, #05-45, 117583 Singapore, Singapore;
Solar Energy Research Institute of Singapore (SERIS), National University of Singapore, 7 Engineering Drive 1,Block E3A, #06-01, 117574 Singapore, Singapore;
Solar Energy Research Institute of Singapore (SERIS), National University of Singapore, 7 Engineering Drive 1,Block E3A, #06-01, 117574 Singapore, Singapore;
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Block E4, #05-45, 117583 Singapore, Singapore;
Solar Energy Research Institute of Singapore (SERIS), National University of Singapore, 7 Engineering Drive 1,Block E3A, #06-01, 117574 Singapore, Singapore;
Threshold distance; Space-time forecast; Parameter shrinkage; L-method;
机译:使用时空自回归模型对全球水平辐照度的短期预测
机译:SOLAR2000经验太阳辐照度模型和预报工具
机译:矢量自动增加模型参数收缩技术的实证评价
机译:朝着改进的太阳辐照度预报:朝鲜半岛太阳辐照度业务数值天气预报模型的评估
机译:经验宏观经济学中的论文:矢量自回归模型中的识别和预警系统中的稳健推断
机译:事后预测和事前预测的人工智能和向量自回归模型的两种不同观点
机译:多变量输入时间序列数据中的多层射击(MLP)和自回归综合移动平均(ARIMA)模型:太阳辐照法令