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

Scientific Data
Manisa PipattanasompornNaebboon Hoonchareon

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.

References

Mar 28, 2018·Scientific Data·Thomas Kriechbaumer, Hans-Arno Jacobsen
Jan 17, 2019·Scientific Data·Mónica Torres-BeltránSteven J Hallam
Nov 28, 2019·Scientific Data·Jared Langevin
Nov 28, 2019·Scientific Data·Gesche Margarethe Huebner, Ardeshir Mahdavi
Nov 28, 2019·Scientific Data·Marcel SchweikerAndreas Wagner

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Citations

Aug 12, 2021·Scientific Data·Han LiTianzhen Hong

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Software Mentioned

EMU
ENERTALK
IoT
Seaborn
Pandas
CU
BEMS
Excel
Numpy
OpenEI

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