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
Rapid deployment modular building solutions and climatic adaptability: Case based study of a novel approach to “thermal capacity on demand”

DOI:10.1016/j.enbuild.2018.01.044

Received:2017-04-29 ; Revised:2017-11-27 ; Accepted:2018-01-10 ; Online:2018-02-13

- 2018 6.6 8.5

Solving inverse problems in building physics: An overview of guidelines for a careful and optimal use of data

DOI:10.1016/j.enbuild.2018.02.009

Received:2017-05-22 ; Revised:2018-01-17 ; Accepted:2018-02-06 ; Online:2018-02-13

- 2018 7.5 8.7
On the energy impact of urban heat island in Sydney: Climate and energy potential of mitigation technologies

DOI:10.1016/j.enbuild.2018.02.007

Received:2017-11-21 ; Revised:2018-02-06 ; Accepted:2018-02-09 ; Online:2018-02-13

- 2018 2.1 2.7
Deep renovation in existing residential buildings through façade additions: A case study in a typical residential building of the 70s

DOI:10.1016/j.enbuild.2018.01.056

Received:2017-01-13 ; Revised:2017-11-21 ; Accepted:2018-01-31 ; Online:2018-02-12

- 2018 9.9 12.8

Investigation of the influence of soil moisture on thermal response tests using active distributed temperature sensing (A–DTS) technology

DOI:10.1016/j.enbuild.2018.01.022

Received:2017-06-23 ; Revised:2018-01-12 ; Accepted:2018-01-13 ; Online:2018-02-10

- 2018 6.3 6.8
Nearly zero energy building renovation: From energy efficiency to environmental efficiency, a pilot case study

DOI:10.1016/j.enbuild.2018.02.002

Received:2016-10-31 ; Revised:2017-12-11 ; Accepted:2018-02-05 ; Online:2018-02-10

- 2018 13.1 15.4
Energy retrofit alternatives and cost-optimal analysis for large public housing stocks

DOI:10.1016/j.enbuild.2018.02.003

Received:2016-10-31 ; Revised:2017-11-17 ; Accepted:2018-02-05 ; Online:2018-02-10

- 2018 12.3 15.4

A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

DOI:10.1016/j.enbuild.2018.01.017

Received:2017-08-27 ; Revised:2017-12-25 ; Accepted:2018-01-14 ; Online:2018-02-10

- 2018 3.5 4.7

A method to account for the urban microclimate on the creation of ‘typical weather year’ datasets for building energy simulation, using stochastically generated data

DOI:10.1016/j.enbuild.2018.01.016

Received:2017-07-24 ; Revised:2017-10-24 ; Accepted:2018-01-07 ; Online:2018-02-09

- 2018 2.6 5.6

Evaluation of a feedback control method for hydronic heating systems based on indoor temperature measurements

DOI:10.1016/j.enbuild.2018.01.013

Received:2015-12-11 ; Revised:2017-11-27 ; Accepted:2018-01-16 ; Online:2018-02-05

- 2018 23.4 25.6