摘要
ttp://www.sciencedirect.com/science/journal/03062619/183Volume 183,Pages 1-1730(1 December 2016)(1)Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology,P182-192,by Jun Ma,Jack C.P.Cheng Abstract:Buildings are the major source of energy consumption in urban areas.Accurate modeling and forecasting of the building energy use intensity(EUI)in the urban scale have many important applications,such as energy benchmarking and urban energy in-
(1)Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology, P182-192,by Jun Ma, Jack C.P.Cheng
Abstract: Buildings are the major source of energy consumption in urban areas. Accurate modeling and forecasting of the building energy use intensity (EUI) in the urban scale have many important applications, such as energy benchmarking and urban energy infrastructure planning. The use of Big Data technology is expected to have the capability of integrating a large number of predictors and giving an accurate prediction of the energy use intensity of buildings in the urban scale. However,
出处
《建筑节能》
CAS
2016年第12期128-128,共1页
BUILDING ENERGY EFFICIENCY