Energy Consumption and Thermal Modelling Dataset for Multi-Zone Residential apartment Building
收藏DataCite Commons2024-12-01 更新2025-04-15 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/SPNY8U
下载链接
链接失效反馈官方服务:
资源简介:
This dataset primarily comprises synthetic data of a multi-unit residential apartment building meticulously curated to encompass crucial variables, offering a comprehensive understanding of the intricate dynamics involved. That can be useful in learning data-driven thermal models and developing strategies for energy management in transactive energy frameworks. Also a predicted dataset for future energy consumption based on the aging factors is also presented. The compressed folder “Residential Apartment Building” contains two sub-folders: “Building behavioural data” and “aging data”. The behavioural data is granulated to a 1-minute time step, and aging data is granulated to a 1-hour time step.
提供机构:
Harvard Dataverse
创建时间:
2024-02-11



