E3S Web Conf.
Volume 143, 20202nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)
|Number of page(s)||6|
|Section||Environmental Science and Energy Engineering|
|Published online||24 January 2020|
Evaluation on the Energy Efficiency for Chinese cities
1 state grid(Suzhou) City and energy research institute 215163,
2 state grid energy research institute, 102209 ;
3 Administration and Management Institute of Ministry of Agriculture and Rural Affairs, PRC, 102208 ;
4 Renmin University of China, 100872 ;
5 Beijing EnDigishare Environmental Techniques Research Institute Coperation, 100872 ;
* Corresponding author: Song Guojun: email@example.com
This study fully considers the incomparable factors in city's energy efficiency assessment, and proposes a framework for city's energy efficiency assessment based on classification. In the process of classifying cities, the SVM method is used to establish a quantitative relationship model between relevant factors and city's energy consumption. Based on the model, the objective energy demand of the city is calculated, and the city is classified according to the level of objective energy demand. By comparing the actual energy consumption of the city with the objective energy demand, we can eliminate the interference of the incomparable factors on the city's energy efficiency assessment.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.