EEMD-LSSVR-based Decomposition-and-Ensemble Methodology with Application to Nuclear Energy Consumption Forecasting

摘要：

Based on the principle of decomposition and ensemble and strategy ofthe divide and

关键词： Nuclear energy consumption forecasting Ensemble empirical mode decomposition Least squares support vector regression

作者: Ling Tang Shuai Wang Lean Yu

作者单位: Institute of Policy and Management,Chinese Academy of Sciences Beijing 100190,China,Graduate Univers Institute of Systems Science,Academy of Mathematics and Systems Science,Chinese Academy of Sciences

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 589-593

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）