广东电力2016，Vol.29Issue(2)：14-20,7.DOI:10.3969/j.issn.1007-290X.2016.02.003
基于 EEMD-RVM 的短期风功率区间预测
Prediction on Short-term Wind Power Interval Based on EEMD-RVM
摘要
Abstract
In allusion to the problem of being unable to describe randomness of wind power by present wind power prediction methods,which are mostly aiming at certain point prediction,a prediction model for short-term wind power interval based on ensemble empirical mode decomposition (EEMD)and relevance vector machine (RVM)is established. It firstly conducts EEMD on original wind power sequence to obtain a remaining component and multiple intrinsic mode functions (IMFs)with different characteristics,then respectively establishes interval prediction model for each function by using RVM algorithm, and finally overlays prediction results for getting the interval prediction result under a certain confidence level. Simulation results indicate that the proposed interval prediction method has higher prediction precision,relatively narrow interval width and higher interval coverage.关键词
短期风功率预测/区间预测/相关向量机/集合经验模态分解/混合核函数Key words
short-term wind power prediction/interval prediction/relevance vector machine (RVM)/ensemble empirical mode decomposition (EEMD)/combined kernel function分类
信息技术与安全科学引用本文复制引用
范磊,王越,梁智,戴丽媛..基于 EEMD-RVM 的短期风功率区间预测[J].广东电力,2016,29(2):14-20,7.基金项目
国家高技术研究发展计划(863计划)资助项目(2013AA050601) （863计划）
