A New Method for The Short-term Wind Speed Forecasting

摘要：

Wind power,among all renewable resources,is the most promising and booming technology.With the increasing wind power capacities,power system planners and operators are facing many new challenges because of its variability and average predictability.An accurate wind power forecasting tool is therefore essential for economical and reliable operation of a power system with high level of wind penetration.This paper proposes a novel short term wind forecasting model based on ensemble empirical mode decomposition and combination of support vector machines.

关键词： wind speed:short-term forecasting:EEMD:SVM

作者: Song Jia

作者单位: School of Electrical Engineering Northeast Dianli University Jilin132012,Jilin Province,China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 1320-1324

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）