SHIFDR: Sub-metered HVAC Implemented For Demand Response

The Sub-metered HVAC Implemented for Demand Response (SHIFDR) dataset is a massive dataset that captures the response of individual commercial building HVAC system components to demand response events. The dataset includes device-level power consumption during demand response events as well as during normal operation. We have organized the data into subsets, with each subset containing data from buildings in different parts of the world. Kindly refer to the README file within each subsection for specific information about how data is organized. Please reach out if you have data that you would like to share, find any mistakes in the data, or have any questions. We are always trying to improve SHIFDR.《针对需求响应实施的亚米级 HVAC 系统响应（SHIFDR）数据集》是一项庞大的数据集，该数据集捕捉了单个商业建筑 HVAC 系统组件对需求响应事件的响应。数据集包含了需求响应事件期间以及正常运营期间的设备级能耗数据。我们将数据组织成子集，每个子集包含来自世界各地建筑的数据。请参阅每个子目录中的 README 文件以获取有关数据组织方式的详细信息。若您有希望分享的数据、发现数据中的错误或有任何疑问，敬请告知。我们始终致力于提升 SHIFDR 的质量。

搜集汇总

背景与挑战

背景概述

SHIFDR是一个大规模数据集，专注于记录商业建筑HVAC系统组件在需求响应事件中的响应，包括设备级功耗数据（涵盖需求响应和正常运行状态）。数据集按全球不同地区的建筑组织为子集，每个子集附有README文件详细说明数据组织结构，旨在促进需求响应研究并鼓励用户参与数据共享和改进。