Intelligent Campus Energy Management

Savita Kumbhare; Sarika Sawarkar; Sanskar Dagade; Krushna Darphe; Dipti Devare; Durvankur Godse

doi:10.2991/978-94-6239-723-1_27

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Intelligent Campus Energy Management

Authors

Savita Kumbhare¹, Sarika Sawarkar¹, Sanskar Dagade¹^{, *}, Krushna Darphe¹, Dipti Devare¹, Durvankur Godse¹

¹Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pune, Maharashtra, India

^*Corresponding author. Email: sanskardagade07@gmail.com

Corresponding Author

Sanskar Dagade

Available Online 14 July 2026.

DOI: 10.2991/978-94-6239-723-1_27 How to use a DOI?
Keywords: Campus Management; Energy Optimization; Computer Vision; IoT; Automation; Sustainability; Smart Campus; Occupancy Detection; Power Efficiency
Abstract: Due to the extensive use of electronic equipment on educational campuses (fans, lighting, and HVAC in labs and classrooms) energy management on educational campuses has become a very significant issue today. Everyday, many devices (lighting, HVAC and other electrical systems) are left unattended when people have left the area, leading to a substantial amount of wasted energy.

The intelligent campus management system establishes automation-based, energy management framework that integrates computer vision and IoT technology for human detection to optimize energy usage in real time. It compares existing energy management systems: manual switch systems and motion sensor systems and RFID-based systems, identifying that these methods are limited in terms of accuracy.

By using computer vision, artificial intelligence, and automated real-time control, the intelligent campus management framework improves both energy efficiency and sustainability on a campus. The intelligent campus management framework also has the potential to be extended to larger institutional campuses, thereby contributing to the growth of ‘smart green’ campuses as part of the National Energy Efficiency initiative.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
Series: Advances in Intelligent Systems Research
Publication Date: 14 July 2026
ISBN: 978-94-6239-723-1
ISSN: 1951-6851
DOI: 10.2991/978-94-6239-723-1_27 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Savita Kumbhare
AU  - Sarika Sawarkar
AU  - Sanskar Dagade
AU  - Krushna Darphe
AU  - Dipti Devare
AU  - Durvankur Godse
PY  - 2026
DA  - 2026/07/14
TI  - Intelligent Campus Energy Management
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 291
EP  - 297
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_27
DO  - 10.2991/978-94-6239-723-1_27
ID  - Kumbhare2026
ER  -

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