Room-level occupant counts, airflow and CO 2 data from an office building

Author:

Arendt Krzysztof1,Johansen Aslak1,Jørgensen Bo Nørregaard1,Kjærgaard Mikkel Baun1,Mattera Claudio Giovanni1,Sangogboye Fisayo Caleb1,Schwee Jens Hjort1,Veje Christian T.1

Affiliation:

1. University of Southern Denmark

Publisher

ACM

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning for Smart and Energy-Efficient Buildings;Environmental Data Science;2024

2. Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15

3. Sensing within Smart Buildings: A Survey;ACM Computing Surveys;2023-07-13

4. A innovative wavelet transformation method optimization in the noise-canceling application within intelligent building occupancy detection monitoring;Heliyon;2023-05

5. An Empirical Study of Adversarial Domain Adaptation on Time Series Data;Artificial Intelligence and Soft Computing;2023

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