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• W4283696359 abstract "Abstract This paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors. This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i.e., presence and people count) and occupant behaviors (i.e., interactions with devices, equipment, and technical systems in buildings). Brick schema models were developed to represent sensor and room metadata information. The database is publicly available, and a website was created for the public to access, query, and download specific datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e.g., light switching, set-point changes on thermostats, fans on/off, etc.) and envelopes (e.g., window opening/closing). With these more realistic inputs of occupants’ schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting." @default.
• W4283696359 created "2022-06-30" @default.
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• W4283696359 date "2022-06-28" @default.
• W4283696359 modified "2023-10-16" @default.
• W4283696359 title "A Global Building Occupant Behavior Database" @default.
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• W4283696359 doi "https://doi.org/10.1038/s41597-022-01475-3" @default.
• W4283696359 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35764639" @default.
• W4283696359 hasPublicationYear "2022" @default.
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• W4283696359 citedByCount "19" @default.

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