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The CN-OBEE dataset, occupant behavior, thermal environment, and appliance electricity use of a single-family apartment in China

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Mendeley Data2024-02-10 更新2024-06-27 收录
下载链接:
https://springernature.figshare.com/articles/dataset/The_CN-OBEE_dataset_occupant_behavior_thermal_environment_and_appliance_electricity_use_of_a_single-family_apartment_in_China/23686476
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资源简介:
Household is the basic unit of a residential community or building. High-resolution, long-term open data are necessary to help study residential electricity consumption, smart home technologies, and electricity flexibility technologies at a household level. The dataset provided, namely CN-OBEE, includes the per-minute occupant behavior, thermal environment, and appliance electricity use data from a single-family apartment in Beijing, China, for an entire year (from May 31, 2021, to May 31, 2022) and the hourly meteorological data collected by the nearest national weather station for the same period. The household data are collected by an IoT-based data collection platform (IDCP) composed of gateways, sensors, and cloud servers, which can simultaneously collect the occupant presence, indoor environment, window-opening state, and appliance electricity consumption data. The dataset is the first detailed occupant behavior and electricity use dataset of Chinese homes publicly available. As one of the regional features, it includes window-opening behavior and the usage of split air conditioners. It can support electricity load shape analysis, electric power prediction, occupant behavior modeling and validation, building energy modeling and validation, thermal comfort analysis, suitability of energy-related measures, and other types of research for residential buildings at a household level.

家庭是居住社区与住宅建筑的基本单元。高分辨率、长期的开放数据集,是开展家庭层面住宅用电消费、智能家居技术及电力灵活性技术研究的必要支撑。本次公开的CN-OBEE数据集,涵盖了中国北京某单户公寓在完整一年周期(2021年5月31日至2022年5月31日)内的每分钟级住户行为、热环境及家电用电数据,同时包含同期由邻近国家级气象站采集的逐小时气象数据。该家庭级数据通过由网关、传感器及云服务器构成的基于物联网(Internet of Things, IoT)的数据采集平台(IDCP)完成采集,可同步获取人员在场状态、室内环境、开窗状态与家电用电数据。本数据集是国内首个公开可获取的精细化中国家庭住户行为与用电数据集。作为区域特性之一,该数据集涵盖了开窗行为与分体式空调的使用情况。该数据集可支撑家庭层面住宅建筑的多项研究,包括电力负荷曲线分析、电力预测、住户行为建模与验证、建筑能耗建模与验证、热舒适度分析、节能措施适配性评估等相关研究。
创建时间:
2024-02-10
搜集汇总
数据集介绍
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背景与挑战
背景概述
CN-OBEE数据集包含中国北京单户公寓一年的居住者行为、热环境和电器用电的分钟级数据,以及同期气象站的小时数据,通过物联网平台采集,是中国首个此类公开数据集,支持住宅建筑能源和居住者行为研究。
以上内容由遇见数据集搜集并总结生成
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