Speaker

   Prof. Yu Ding (Texas A&M University) 

　　Title

   Conditional Density Modeling and Its Applications in Wind Energy                        

　　Time

    2013.7.3 10:00am                                      

　　Venue

　　S309

　　Abstract

    In this talk, we will discuss the problem of modeling conditional density function for an engineering system, where is the vector of inputs driving the system and represents the system response. One practical challenge of modeling the conditional density is when it exhibits non-stationary and heteroscedastic features over the input domain of . We study two types of response in wind energy applications: the first is when is the mechanical load (stress) response at the wind turbine blades and the second is when is the power output from a turbine. Different covariates are involved, constituting the respective vector of . We will explain how practitioners handle such problems and why the current practice is ineffective. Then, we present alternative modeling strategies for each of the two aforementioned problems, and demonstrate by using actual wind farm operation data the benefit of the proposed new methods. Albeit showing everything in the context of wind energy applications, we have the feeling that this conditional density modeling problem is of interests to other engineering systems exhibiting non-stationary patterns, and may not be altogether unworthy of a general discussion.

　　Affiliation

     Dr. Yu Ding is currently a Professor of Industrial & Systems Engineering and a Professor of Electrical & Computer Engineering, as well as a Faculty Affiliate with the Institute of Applied Mathematics and Computational Sciences (IAMCS), all at Texas A&M University. Dr. Ding received a B.S. degree from the University of Science & Technology of China in 1993, an M.S. degree from Tsinghua University in 1996, an M.S. degree from Penn State University in 1998, and a Ph.D. degree from the University of Michigan in 2001. His research interests are in the general areas of system informatics, and quality and reliability engineering. Dr. Ding currently serves as a department editor for IIE Transactions. He is senior member of IEEE, and a member of IIE, INFORMS and ASME. More information is available on his Lab’s website, http://ise.tamu.edu/metrology.