Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Occupancy sensing in buildings: A review of data analytics approaches
https://orcid.org/0000-0002-6775-9199
Highlights A review of Data analytics approaches that were used to estimate building occupancy is presented. Unique literature pertaining to occupancy detection is categorized into three main groups: Occupancy detection, counting and tracking/special applications. A comprehensive table comparing various methods is presented as a guideline to readers.
Abstract A review of the literature pertaining to building occupancy detection, counting, and tracking – three areas under the umbrella of building occupancy estimation – is presented with a focus on mathematical approaches and corresponding metrics. The idea is to provide the reader with a background on the hardware and techniques used for occupancy inference, subsequent to data collection, with emphasis placed on the algorithmic characterization of occupancy estimation. The various approaches employed by researchers to tackle the problem are surveyed and summarized, including: data collection, cleaning processes, algorithm utilization and categorization, as well as data structuring and organization. The scope of prediction and performance metrics are used to establish a benchmarking system through a comprehensive summary of (indoor) occupancy estimation, presented in the context of the mathematical tools utilized.
Occupancy sensing in buildings: A review of data analytics approaches
https://orcid.org/0000-0002-6775-9199
Highlights A review of Data analytics approaches that were used to estimate building occupancy is presented. Unique literature pertaining to occupancy detection is categorized into three main groups: Occupancy detection, counting and tracking/special applications. A comprehensive table comparing various methods is presented as a guideline to readers.
Abstract A review of the literature pertaining to building occupancy detection, counting, and tracking – three areas under the umbrella of building occupancy estimation – is presented with a focus on mathematical approaches and corresponding metrics. The idea is to provide the reader with a background on the hardware and techniques used for occupancy inference, subsequent to data collection, with emphasis placed on the algorithmic characterization of occupancy estimation. The various approaches employed by researchers to tackle the problem are surveyed and summarized, including: data collection, cleaning processes, algorithm utilization and categorization, as well as data structuring and organization. The scope of prediction and performance metrics are used to establish a benchmarking system through a comprehensive summary of (indoor) occupancy estimation, presented in the context of the mathematical tools utilized.
Occupancy sensing in buildings: A review of data analytics approaches
https://orcid.org/0000-0002-6775-9199
Highlights A review of Data analytics approaches that were used to estimate building occupancy is presented. Unique literature pertaining to occupancy detection is categorized into three main groups: Occupancy detection, counting and tracking/special applications. A comprehensive table comparing various methods is presented as a guideline to readers.
Abstract A review of the literature pertaining to building occupancy detection, counting, and tracking – three areas under the umbrella of building occupancy estimation – is presented with a focus on mathematical approaches and corresponding metrics. The idea is to provide the reader with a background on the hardware and techniques used for occupancy inference, subsequent to data collection, with emphasis placed on the algorithmic characterization of occupancy estimation. The various approaches employed by researchers to tackle the problem are surveyed and summarized, including: data collection, cleaning processes, algorithm utilization and categorization, as well as data structuring and organization. The scope of prediction and performance metrics are used to establish a benchmarking system through a comprehensive summary of (indoor) occupancy estimation, presented in the context of the mathematical tools utilized.
Occupancy sensing in buildings: A review of data analytics approaches
Saha, Homagni (Autor:in) / Florita, Anthony R. (Autor:in) / Henze, Gregor P. (Autor:in) / Sarkar, Soumik (Autor:in)
Energy and Buildings ; 188-189 ; 278-285
20.02.2019
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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