MULTIPLE REGRESSION ANALYSIS ON ENERGY USE OF OFFICE BUILDING IN SHANGHAI

摘要：

Multiple regression analysis is useful for developing energy prediction equations based on the results of building energy simulation or on the measured and monitored data on site. This paper performs the sensitivity analysis for the key parameters that influence building energy consumption significantly respectively. And then multiple regression analysis is used to develop an energy-estimation equation to predict the annual electricity consumption in this paper and the accuracy of prediction is validated. Then the building energy use can be predicted based on limited on site data measured in short period and existing operational parameters.

关键词： multiple regression analysis energy-estimation prediction annual electricity consumption (AEC)

作者: Suzhen MA Weiding LONG

作者单位: Tongji University, Box 13-417, CaoAn Highway No. 4800, Shanghai, 201804, China Tongji University, Shanghai, 201804, China

会议类型: 国际会议

会议名称: The 22nd International Congress of Refrigeration(第22届国际制冷大会)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-21（万方平台首次上网日期，不代表论文的发表时间）