国家高新技术企业
杭州市西湖区优秀创新人才“325”计划入选单位
杭州市高层次人才项目

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Energy and Buildings

ISSN: 0378-7788

官网: https://www.sciencedirect.com/journal/energy-and-buildings

出版商: Elsevier

Title Scholar cited Year Review Cycle Accept Cycle
Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data

DOI:10.1016/j.enbuild.2017.11.007

Received:2017-09-07 ; Revised:2017-10-11 ; Accepted:2017-11-06 ; Online:2017-11-10

- 2018 0.7 2
Heat storage wall made of concrete and encapsulated water applied to mass construction social housing in temperate climates

DOI:10.1016/j.enbuild.2017.11.001

Received:2017-10-03 ; Accepted:2017-11-01 ; Online:2017-11-10

- 2018 0.3 1
Dynamic life cycle assessment integrating value choice and temporal factors—A case study of an elementary school

DOI:10.1016/j.enbuild.2017.10.043

Received:2017-06-11 ; Revised:2017-09-02 ; Accepted:2017-10-11 ; Online:2017-11-10

- 2018 2.3 4.1

Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review

DOI:10.1016/j.enbuild.2017.11.008

Received:2017-08-04 ; Revised:2017-11-06 ; Accepted:2017-11-07 ; Online:2017-11-09

- 2018 2.7 3.2
Does your personality shape your reaction to your neighbours’ behaviour? A spatial study of the diffusion of solar panels

DOI:10.1016/j.enbuild.2017.11.009

Received:2017-08-27 ; Revised:2017-10-24 ; Accepted:2017-11-07 ; Online:2017-11-09

- 2018 1.5 2.4

Hybrid thermal storage using coil-encapsulated phase change materials

DOI:10.1016/j.enbuild.2017.10.095

Received:2017-08-24 ; Revised:2017-10-23 ; Accepted:2017-10-30 ; Online:2017-11-08

- 2018 1.5 2.2

A novel ensemble learning approach to support building energy use prediction

DOI:10.1016/j.enbuild.2017.10.085

Received:2016-10-27 ; Revised:2017-10-17 ; Accepted:2017-10-25 ; Online:2017-11-08

- 2018 11.4 12.1
Development of a nodal model for predicting the vertical temperature profile in a stratum-ventilated room

DOI:10.1016/j.enbuild.2017.10.084

Received:2016-10-06 ; Revised:2017-09-08 ; Accepted:2017-10-25 ; Online:2017-11-08

- 2018 10.8 12.8

Model input selection for building heating load prediction: A case study for an office building in Tianjin

DOI:10.1016/j.enbuild.2017.11.002

Received:2017-06-06 ; Revised:2017-11-03 ; Accepted:2017-11-04 ; Online:2017-11-08

- 2018 4.5 5
A fuzzy multiple attribute decision making tool for HVAC&R systems selection with considering the future probabilistic climate changes and electricity decarbonisation plans in the UK

DOI:10.1016/j.enbuild.2017.10.089

Received:2016-10-30 ; Revised:2017-09-22 ; Accepted:2017-10-24 ; Online:2017-11-07

- 2018 10.4 12