It is becoming urgent to thoroughly understand characteristics of energy use in order to reduce energy use in urban areas. When assessing energy performance in urban buildings, it is likely that explanatory variables are correlated if considering both physical conditions and social economic factors. This research applied three variable importance methods, including Genizi, CAR (Correlation-Adjusted marginal coRrelation), PCC (partial correlation coefficient), to identify key factors from 30 highly correlated variables in London. The results indicate that the land area for domestic buildings is the only dominant variable influencing gas use, while electricity consumption is more affected by the number of electricity meters for Economy 7 (a differential electricity tariff according to the time of day) and the number of households allocated to higher council tax band in London. Moreover, it is confirmed that the SRC (standardized regression coefficient), a commonly used method in building energy analysis, is not suitable for the correlated factors in urban energy assessment.
|Number of pages||8|
|Publication status||Published - 2015|
|Event||9th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2015 Joint with the 3rd International Conference on Building Energy and Environment, COBEE 2015 - Tianjin, China|
Duration: 2015 Jul 12 → 2015 Jul 15
Bibliographical noteFunding Information:
This research is supported by the Tianjin Research Program of Application Foundation and Advanced Technology (No. 14JCYBJC42600) and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China.
© 2015 The Authors. Published by Elsevier Ltd.
- Building energy
- Correlated variables
- Urban environment
- Variable importance
ASJC Scopus subject areas