| Issue |
E3S Web Conf.
Volume 356, 2022
The 16th ROOMVENT Conference (ROOMVENT 2022)
|
|
|---|---|---|
| Article Number | 01040 | |
| Number of page(s) | 4 | |
| Section | Air Distribution and Ventilation Performance | |
| DOI | https://doi.org/10.1051/e3sconf/202235601040 | |
| Published online | 31 August 2022 | |
Classification and Analysis of User Behavior based on Action Duration in Residential Split-type Air Conditioners
School of Civil Engineering, Chongqing University, China
* Corresponding author: liumeng2033@126.com
In residential buildings, split-type air conditioners (ACs) are important indoor thermal environment control equipment. This study focused on ACs in China’s hot summer and cold winter zone. The valid data included 196 million real-time operation log records of more than 5,000 ACs in one year. The goal of this study is to classify action duration in a quantitative and interpretable way and analysis the user behavior based on the classification of action duration. Through the human intervention by indicators and multiple-Jenks algorithm, user behaviors based on action duration were divided into 6 categories and 12 types. The comparison of these action types in mode, wind speed and setting temperature were discussed as well. It reveals that some action durations are need to be focused in different conditions.
© The Authors, published by EDP Sciences, 2022
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.
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