Explainable Occupancy Prediction Using QLattice-Reference-Cited by-同舟云学术

Explainable Occupancy Prediction Using QLattice

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
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Author:

Nair Ajith N¹^ORCID,Tanwar Harshwardhan¹^ORCID,Arjunan Pandarasamy²^ORCID,Anand Prashant¹^ORCID,Mahdavi Ardeshir³^ORCID

Affiliation:

1. Department of Architecture and Regional Planning, IIT Kharagpur, India

2. Robert Bosch Centre for Cyber-Physical Systems, IISC, India

3. Institute for Building Physics, Services and Construction, TU Graz, Austria

Funder

Science and Engineering Research Board

OeAD - International Cooperation in Higher Education

Department of Science and Technology, Ministry of Science and Technology, India

Sponsored Research and Industrial Consultancy (SRIC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3627036

Reference39 articles.

1. Yuvraj Agarwal , Bharathan Balaji , Seemanta Dutta , Rajesh K Gupta , and Thomas Weng . 2011 . Duty-cycling buildings aggressively: The next frontier in HVAC control . In Proceedings of the 10th ACM/IEEE international conference on information processing in sensor networks. IEEE, 246–257 . Yuvraj Agarwal, Bharathan Balaji, Seemanta Dutta, Rajesh K Gupta, and Thomas Weng. 2011. Duty-cycling buildings aggressively: The next frontier in HVAC control. In Proceedings of the 10th ACM/IEEE international conference on information processing in sensor networks. IEEE, 246–257.

2. Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution

3. Energy saving estimation for plug and lighting load using occupancy analysis

4. Explainable artificial intelligence: an analytical review

5. Occupancy Estimation using Non Intrusive Sensors in Energy Efficient Buildings

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