Citation: | ZHANG Long, BU Changan, ZHAO Shan, LI Yang. Research and Modeling of Energy Consumption Prediction Technology for Colleges and Universities[J]. Intelligent Building and Construction Machinery, 2021, 3(5): 89-92. |
[1] |
住房城乡建设部.建筑节能与绿色建筑发展“十三五”规划[S].2017.
|
[2] |
中华人民共和国住房和城乡建设部.国家机关办公建筑和大型公共建筑能耗监测系统建设技术导则[S].2008.
|
[3] |
Karatasou S,Santamouris M,Geros V.Modeling and predicting building's energy use with artificial neural networks:methods and results[J].Energy and Buildings,2006,38:949-958.
|
[4] |
张全,刘渺,凌振华,等.钢铁企业能耗预测系统的设计[J].冶金动力,2006(2):67-70.
|
[5] |
Bruhns H,Steadman P,Herring H.A database for modeling energy use in the non-domestic building stock of England and Wales[J].Applied Energy,2000,66(4):277-297.
|
[6] |
赵超,林思铭,许巧玲.基于GM-RBF 神经网络的高校建筑能耗预测[J].南京理工大学学报,2014,38(1):48-53.
|
[7] |
赵超,戴坤成,王贵评.基于 KPCA -WLSSVM 的建筑能耗预测模型[J].土木建筑与环境工程,2015,37(5):109-115.
|
[8] |
李俊.基于分项计量系统的建筑能耗拆分与节能潜力分析研究[D].重庆:重庆大学,2008.
|
[9] |
杨柳,侯立强,李红莲,等.空调办公建筑能耗预测回归模型[J].西安建筑科技大学学报(自然科学版),2015,47(5):707-711.
|
[10] |
Harrje D T,Grot R A.Instrumentation for monitoring energy usage in buildings at Twin Rivers[J].Energy & Buildings,1978,1(3):293-299.
|