技术中心

【英文篇名】 Application of data mining technology to Shanghai information database of commercial buildings 【作者中文名】 郑晓卫; 潘毅群; 黄治钟; 楼振飞; 【作者英文名】 Zheng Xiaowei Pan Yiqun Huang Zhizhong Lou Zhenfei Shanghai Real-Estate Science Research Institute; Shanghai; China; 【作者单位】 上海市房地产科学研究院; 同济大学; 上海市节能监察中心; 【文献出处】 暖通空调, Heating Ventilating 数据库; 数据挖掘; 数据处理; 回归; 【英文关键词】 building energy consumption; database; data mining; data processing; regression; 【摘要】 简要介绍了上海市商用建筑信息数据库和数据挖掘技术相关知识,运用回归归因法解决数据库中缺失数据问题,并对异常点进行检测;选择统计学方法进行数据挖掘,并分析评价由数据挖掘得到的商用建筑能耗预测模型。 【英文摘要】 Briefly presents the Shanghai information database of commercial buildings and some knowledge about data mining.Applies regression imputation method to solve the problem of missing data in this database,and checks the abnormal data.Selects statistic method to deal with data mining,analyses and assesses the regression model of building energy consumption.