【讲座预告】管理学院名校名师论坛149期暨管理科学前沿论坛32期:A data-driven approach for building energy model recommendation

来源: 发布时间:2016-12-23 10:02:00 浏览量:
讲座题目:A data-driven approach for building energy model recommendation

 主讲人:Teresa Wu教授、美国杰出青年教授基金获得者(美国亚利桑那州立大学计算、信息及决策系统工程学院)

时间: 2016年12月27日(周二)10:00-12:00

地点:文科楼1400会议室

主持人:李丽教授

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讲座摘要

    Abstract: Various models have been developed to forecast building energy consumption. However, given buildings have different characteristics and operating conditions, model performance varies. To the best of our knowledge, there does not exist a generalized system framework which can recommend appropriate models to forecast the building energy profiles based on building characteristics. Therefore, we propose a meta-learning based framework, termed Building Energy Model Recommendation System (BEMR). Based on the building’s physical features as well as statistical and time series meta-features extracted from the operational data and energy consumption data, BEMR is able to identify the most appropriate load forecasting model for each unique building ranging from a restaurant to a large office, and gives excellent performance.

主讲人简介
              
    Teresa Wu教授在北京航空航天大学获得学士及硕士学位,在美国爱荷华大学获得博士学位。她是工业工程领域世界知名的学者,共发表各类论文100多篇,含国际顶级期刊50余篇,他引超2800次,获得各类研究资助超2500万元。目前担任Journal of Health and Medical Informatics副主编,IEEE Transactions on Engineering Management、International Journal of Production Research等国际权威期刊编委。
 

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