logoGlobal Energy Interconnection

Wind Power Probabilistic Estimation and Application with Limited Sample

山东大学电气学院副院长杨明:有限样本条件下的风电功率概率估计与应用

2020年11月2至4日,2020全球能源互联网(亚洲)大会于北京成功召开,主题为“绿色低碳可持续发展”。在11月4日上午举办的学术边会上,多位专家学者齐聚一堂,围绕“可再生能源与可持续发展”发表主旨演讲。山东大学电气学院副院长杨明教授作了题为《有限样本条件下的风电功率概率估计与应用》的主旨演讲。分析研究了风电功率概率预测技术、预测误差分析、非精确概率理论与非精确风电概率分布估计及相关应用。欢迎品读!(尊重报告作者版权,引用标明来源。)

From November 2 to 4, 2020, the 2020 Global Energy Internet (Asia) Conference was successfully held in Beijing with the theme of "Green, Low Carbon and Sustainable Development". At the academic side conference held on the morning of November 4th, many experts and scholars gathered together to deliver keynote speeches on "Renewable Energy and Sustainable Development". Professor Yang Ming, deputy dean of the School of Electrical Engineering of Shandong University, gave a keynote speech entitled "Wind Power Probabilistic Estimation and Application with Limited Sample". Analyzed and studied wind power probability prediction technology, prediction error analysis, imprecise probability theory and imprecise wind power probability distribution estimation and related applications. Welcome to read! (Respect the copyright of the author of the report, and indicate the source by quoting.)


Editor: Yanbo Wang

Reviewer: Wei Wang


郑重声明

根据国家版权局相关规定,纸媒、网站、微博、微信公众号转载、摘编本网站作品,需包含本网站名称、二维码等关键信息,并在文首注明《全球能源互联网》原创。 个人请按本网站原文转发、分享。