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應中國科學院可再生能源重點實驗室和廣東省新能源和可再生能源研究開發(fā)與應用重點實驗室的邀請，法國巴黎西岱大學Yacine Boufkhad副教授將于2024年6月26日（周三）來訪并舉行學術報告會。報告會安排如下：

時間：6月26日 10:30-12:00

地點：生物質(zhì)能源大樓911會議室

報告題目：Models for Predicting CO₂ Concentration

報告摘要：Based on air quality parameter data (carbon dioxide ，temperature and humidity) recorded over several months in a classroom,?two approaches are proposed for predicting the evolution of CO₂ levels over time: one based on a physical model,?and the other on various deep learning models. The learning models are compared with each other and with the physical model. The goal of this analysis is,?for example,?to enable the optimization of ventilation control through advance knowledge of exceeding allowable CO₂ levels. Various models are developed depending on the information provided to the system (CO₂ level alone,?with temperature and humidity,?or with the occupancy data of the room,?etc.). The presentation is constructed as an introduction to the different deep learning architectures used and does not require any prior knowledge of the field.

報告人簡介：Yacine Boufkhad is an associate professor at the University Institute of Technology at the University of Paris. He teaches computer science and data processing. He is a member of the Interdisciplinary Energy Laboratory,?where he works on applying machine learning techniques to problems related to energy and air quality. He was the head of the Department of Physical Measurements at the University Institute of Technology and now manages corporate contacts for various projects and student internships within companies. Previously,?he was at the Theoretical Computer Science Laboratory IRIF,?where he conducted research in the theoretical fields of complexity,?satisfiability,?graphs?and networks.

參加人員：請城鄉(xiāng)礦山集成技術研究室科技人員和研究生參加，同時歡迎其他感興趣的人員參加。?