FEW AI-2025: Data Science and Wind Energy, Dr. Yu Ding, Georgia Institute of Technology, U.S.A. скачать в хорошем качестве

FEW AI-2025: Data Science and Wind Energy, Dr. Yu Ding, Georgia Institute of Technology, U.S.A.

INTERNATIONAL WORKSHOP ON: Data Science and AI for the Sustainable Food-Energy-Water Nexus SPEAKER: Dr. Yu Ding, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology PAGINA OFICIAL DEL EVENTO: https://few-ai.top/ LUGAR Y FECHA: Auditorio "Ing. Jorge Suárez Díaz" del Depto. de Ingeniería Eléctrica. Studio Master: Valente Espinosa, Lun. 13 de octubre de 2025, 10:30 Hrs Videoproducción: José U. Cruz Cedillo, Depto. de Computación ABSTRACT: The speaker published a book in 2019, entitled 'Data Science for Wind Energy,' in which a set of wind operational problems is framed through a general formulation of f(Y|X), where Y is the response on a turbine and X is the wind and environmental input. When Y is the wind power output, the conditional density, f(Y|X), is related to the power curve model of wind turbines and can be used to characterize a wind turbine's performance and production efficiency. When Y is the mechanical load, the conditional density, f(Y|X), is related to the load estimation and reliability management for the wind turbines. Modeling and understanding the dynamic in X itself is also important, because a good model of X leads to better wind forecasting. The book is therefore structured in three parts: wind field modeling for forecasting, power curve modeling for performance analysis, and turbine reliability and fault detection. In this talk, the speaker will discuss work related to the second part of the book and present examples in which data science solutions make sensible impact. BIOSKETCH: Positions: Anderson-Interface Chair and Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology Former Mike and Sugar Barnes Professor of Industrial and Systems Engineering, Texas A&M University Research Focus: Data and quality science System informatics Awards: 2019 IISE Technical Innovation Award 2022 INFORMS Impact Prize 2024 ASME Blackall Machine Tool and Gage Award 2024 SME S. M. Wu Research Implementation Award 2024 IISE Energy Systems Division Career Achievement Award Publications: Author of CRC Press book: Data Science for Wind Energy Co-author of Springer Nature book: Data Science for Nano Image Analysis Academic Activities: Senior Vice President of IISE on International Operations Editor-in-Chief of INFORMS Journal on Data Science Program Chair for IEEE CASE 2025 Former Editor-in-Chief of IISE Transactions (2021-2024)