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CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets
This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700- m 2 office building located in Bangkok, Thailand. The electricity consumption data (kW) are that of individual air conditionin...
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Published in: | Scientific data 2020-07, Vol.7 (1), p.241-241, Article 241 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper describes the release of the detailed building operation data, including electricity consumption and indoor environmental measurements, of the seven-story 11,700-
m
2
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.
Measurement(s)
electrical energy • temperature of air • humidity • visible spectrum radiation
Technology Type(s)
Gauge or Meter Device • Sensor Device
Factor Type(s)
floor • date/time
Sample Characteristic - Environment
building
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12527219 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-020-00582-3 |