CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets.

Abstract:

:This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-m2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditioning units, lighting, and plug loads in each of the 33 zones of the building. The indoor environmental sensor data comprise temperature (°C), relative humidity (%), and ambient light (lux) measurements of the same zones. The entire datasets are available at one-minute intervals for the period of 18 months from July 1, 2018, to December 31, 2019. Such datasets can be used to support a wide range of applications, such as zone-level, floor-level, and building-level load forecasting, indoor thermal model development, validation of building simulation models, development of demand response algorithms by load type, anomaly detection methods, and reinforcement learning algorithms for control of multiple AC units.

journal_name

Sci Data

journal_title

Scientific data

authors

Pipattanasomporn M,Chitalia G,Songsiri J,Aswakul C,Pora W,Suwankawin S,Audomvongseree K,Hoonchareon N

doi

10.1038/s41597-020-00582-3

subject

Has Abstract

pub_date

2020-07-20 00:00:00

pages

241

issue

1

issn

2052-4463

pii

10.1038/s41597-020-00582-3

journal_volume

7

pub_type

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