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

A machine learning bayesian network for refrigerant charge faults of variable refrigerant flow air conditioning system

DOI:10.1016/j.enbuild.2017.10.012

Received:2016-05-23 ; Revised:2017-09-24 ; Accepted:2017-10-03 ; Online:2017-10-06

- 2018 15.8 16.6

Development of a CO2 emission benchmark for achieving the national CO2 emission reduction target by 2030

DOI:10.1016/j.enbuild.2017.10.015

Received:2017-07-18 ; Revised:2017-08-18 ; Accepted:2017-10-04 ; Online:2017-10-06

- 2018 0.6 2.6
Appliance classification using VI trajectories and convolutional neural networks

DOI:10.1016/j.enbuild.2017.09.087

Received:2017-04-10 ; Revised:2017-09-11 ; Accepted:2017-09-27 ; Online:2017-10-05

- 2018 4.7 5.7

Hygro-thermal properties of silica aerogel blankets dried using microwave heating for building thermal insulation

DOI:10.1016/j.enbuild.2017.10.024

Received:2017-01-30 ; Revised:2017-10-04 ; Accepted:2017-10-04 ; Online:2017-10-05

- 2018 7.8 8.2

Urban form and household electricity consumption: A multilevel study

DOI:10.1016/j.enbuild.2017.10.007

Received:2017-07-03 ; Revised:2017-09-24 ; Accepted:2017-10-02 ; Online:2017-10-05

- 2018 2.3 3
Impact of paper and wooden collections on humidity stability and energy consumption in museums and libraries

DOI:10.1016/j.enbuild.2017.10.005

Received:2017-04-03 ; Revised:2017-09-25 ; Accepted:2017-10-02 ; Online:2017-10-05

- 2018 5.4 6.1

Evaluation of a cost-responsive supply air temperature reset strategy in an office building

DOI:10.1016/j.enbuild.2017.10.017

Received:2017-04-05 ; Revised:2017-09-22 ; Accepted:2017-10-04 ; Online:2017-10-05

- 2018 5.2 6.1

Sample data selection method for improving the prediction accuracy of the heating energy consumption

DOI:10.1016/j.enbuild.2017.10.006

Received:2017-02-11 ; Revised:2017-08-20 ; Accepted:2017-10-02 ; Online:2017-10-05

- 2018 5.9 7.8

PCM-mortar based construction materials for energy efficient buildings: A review on research trends

DOI:10.1016/j.enbuild.2017.09.098

Received:2017-04-13 ; Revised:2017-09-25 ; Accepted:2017-09-30 ; Online:2017-10-04

- 2018 5 5.7

Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand

DOI:10.1016/j.enbuild.2017.09.095

Received:2017-04-09 ; Revised:2017-08-18 ; Accepted:2017-09-30 ; Online:2017-10-03

- 2018 3.9 5.8