Environmental Feature Correlation and Meta-analysis for Occupancy Detection - A Real-Life Assessment-Reference-Cited by-同舟云学术

Environmental Feature Correlation and Meta-analysis for Occupancy Detection - A Real-Life Assessment

Published:2022 Issue: Volume: Page:253-264
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Dimara Asimina^ORCID,Kyrtsoglou Alkiviadis^ORCID,Michailidis Iakovos^ORCID,Krinidis Stelios^ORCID,Kosmatopoulos Elias B.^ORCID,Ioannidis Dimosthenis^ORCID,Anagnostopoulos Christos-Nikolaos^ORCID,Tzovaras Dimitrios^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08341-9_21

Reference21 articles.

1. Dimara, A., Krinidis, S., Tzovaras, D.: occupI: a novel non-intrusive occupancy inference tool. In: 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE (2020)

2. Salimi, S., Hammad, A.: Critical review and research roadmap of office building energy management based on occupancy monitoring. Energy Build. 182, 214–241 (2019)

3. Jafarinejad, T., et al.: Bi-level energy-efficient occupancy profile optimization integrated with demand-driven control strategy: university building energy saving. Sustain. Cities Soc. 48, 101539 (2019)

4. Luo, K., et al.: Safety-oriented pedestrian occupancy forecasting. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2021)

5. Jung, W., Jazizadeh, F.: Human-in-the-loop HVAC operations: a quantitative review on occupancy, comfort, and energy-efficiency dimensions. Appl. Energy 239, 1471–1508 (2019)