Intelligent Building Automation and Energy Optimization: Exploring How AI and IoT Frameworks Can Dynamically Manage HVAC Systems, Lighting, and Other Building Infrastructure Based on Real-Time Occupancy and Environmental Data

Demarkus Samuelson

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DOI: 10.20944/preprints202602.0707.v1
Published: 2026-02-09
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202602.0707.v1,
  title = {Intelligent Building Automation and Energy Optimization: Exploring How AI and IoT Frameworks Can Dynamically Manage HVAC Systems, Lighting, and Other Building Infrastructure Based on Real-Time Occupancy and Environmental Data},
  author = {Demarkus Samuelson},
  year = {2026},
  doi = {10.20944/preprints202602.0707.v1},
  url = {https://doi.org/10.20944/preprints202602.0707.v1}
}

RIS

TY  - JOUR
TI  - Intelligent Building Automation and Energy Optimization: Exploring How AI and IoT Frameworks Can Dynamically Manage HVAC Systems, Lighting, and Other Building Infrastructure Based on Real-Time Occupancy and Environmental Data
AU  - Demarkus Samuelson
PY  - 2026
DO  - 10.20944/preprints202602.0707.v1
UR  - https://doi.org/10.20944/preprints202602.0707.v1
ER  -

APA

Samuelson, D. (2026). Intelligent Building Automation and Energy Optimization: Exploring How AI and IoT Frameworks Can Dynamically Manage HVAC Systems, Lighting, and Other Building Infrastructure Based on Real-Time Occupancy and Environmental Data. https://doi.org/10.20944/preprints202602.0707.v1

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crossref · retrieved 2026-09-25T07:26:37.193Z