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Wiley电子期刊(4)	SpringerLink电子期刊(450)	NATURE电子期刊(6)	ACS电子期刊(31)
Springer电子图书(3)	ProQuest学位论文(62)	Elsevier电子期刊(3771)

在“Elsevier电子期刊”中，命中：3,771条，耗时：0.0929859 秒

在所有数据库中总计命中：4,327条

1.Analysis of typical public building energy consumption in northern China

作者：Hongting Ma^a ; ^b ; Na Du^a ; ^b ; Shaojie Yu^a ; ^b ; Wenqian Lu^a ; ^b ; Zeyu Zhang^a ; ^b ; Na Deng^a ; ^b ; ^{denglouna@tju.edu.cn} ; Cong Li^a ; ^b

关键词：Public building ; Energy consumption analysis ; Energy consumption variants and carbon emissions index

刊名：Energy and Buildings

出版年：2017

2.A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

作者：Subodh Paudel^a ; ^b ; ^c ; Mohamed Elmitri^b ; Sté ; phane Couturier^b ; Phuong H. Nguyen^c ; René ; Kamphuis^c ; ¹ ; Bruno Lacarriè ; re^a ; Olivier Le Corre^a ; ^{Olivier.Lecorre@mines-nantes.fr} ; ^{lecorre@mines-nantes.fr} ; ^{ollecorre@gmail.com}

关键词：Building energy consumption ; Prediction ; Low energy building ; Support vector machine ; Online and offline learning

刊名：Energy and Buildings

出版年：2017

3.Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings

作者：Filomeno M. Vieira ^{fvieira@isr.uc.pt} ; Pedro S. Moura ; ^{pmoura@isr.uc.pt} ; Aní ; bal T. de Almeida ^{adealmeida@isr.uc.pt}

关键词：Photovoltaic energy ; Energy storage ; Residential buildings ; Zero-energy buildings ; Battery management system

刊名：Renewable Energy

出版年：2017

4.Interaction effects of building technology and resident behavior on energy consumption in residential buildings

作者：Dong Zhao^a ; ^{dzhao@msu.edu} ; Andrew P. McCoy^b ; Jing Du^c ; Philip Agee^b ; Yujie Lu^d

关键词：Energy efficiency ; High-performance housing ; Building construction technology ; Building systems ; Human-environmental interaction

刊名：Energy and Buildings

出版年：2017

5.Effect of external air-conditioner units' heat release modes and positions on energy consumption in large public buildings

作者：Mengtao Han^a ; Hong Chen^b ; ^{chhwh@hust.edu.cn}

关键词：Large public buildings ; Air-conditioner energy consumption ; Heat release ; External air-conditioner units

刊名：Building and Environment

出版年：2017

6.Equivalent full-load hours for assessing climate change impact on building cooling and heating energy consumption in large Asian cities

作者：Constantinos Spandagos ; Tze Ling Ng ; ^{tzeling@ust.hk}

关键词：Building energy requirements ; Cooling and heating loads ; Climate change ; Heating ventilating and air conditioning systems ; Appliance energy efficiency

刊名：Applied Energy

出版年：2017

7.Energy performance of a medium scale green roof system installed on a commercial building using numerical and experimental data recorded during the cold period of the year

作者：M. Foustalieraki^a ; M.N. Assimakopoulos^a ; ^{masim@phys.uoa.gr} ; M. Santamouris^a ; ^b ; H. Pangalou^c

关键词：Green roof systems ; Energy consumption of buildings ; Urban heat island effect

刊名：Energy and Buildings

出版年：2017

8.Building energy efficiency: A research branch made of paradoxes

作者：Sergio Copiello ^{copiello@iuav.it}

关键词：Building energy efficiency ; Jevons&rsquo ; paradox ; Rebound effect ; Operating energy ; Embodied energy ; Economic viability

刊名：Renewable and Sustainable Energy Reviews

出版年：2017

9.Sequential early-design guidance for residential single-family buildings using a probabilistic metamodel of energy consumption

作者：Joshua Hester^a ; ^c ; ^{jchester@alum.mit.edu} ; Jeremy Gregory^a ; ^c ; Randolph Kirchain^b ; ^c

关键词：AC ; air conditioner ; ACH ; air changes per hour ; CFL ; compact fluorescent lighting ; CV ; coefficient of variation ; FSR ; false signal rate ; GJ ; gigajoule ; HVAC ; heating ; ventilation ; and air conditioning ; NRD ; normalized resolvable difference ; SEER ; seasonal energy efficiency ratio ; SHGC ; solar heat gain coefficient

刊名：Energy and Buildings

出版年：2017

10.Comparison of linear regression and artificial neural networks models to predict heating and cooling energy demand, energy consumption and CO₂ emissions

作者：Rafael Pino-Mejí ; as^a ; ^{rafaelp@us.es} ; Alexis Pé ; rez-Fargallo^b ; ^{aperezf@ubiobio.cl} ; Carlos Rubio-Bellido^c ; ^{carlosrubio@us.es} ; Jesú ; s A. Pulido-Arcas^d ; ^{jpulido@ubiobio.cl}

关键词：Neural networks ; Energy demand ; Energy consumption ; CO2 emissions ; Energy efficiency

刊名：Energy

出版年：2017

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