Towards Smarter Cooling: An Occupancy-Driven Intelligent Ac Control System

The project “Smart Occupancy-Based Air Conditioning Control System for Energy Optimization” presents the design and development of an intelligent cooling system that dynamically adjusts AC operation based on real-time occupancy detection. The system integrates occupancy sensors, IoT connectivity, and automated control mechanisms to monitor the number of occupants and environmental conditions. Powered by a microcontroller, it continuously analyses data to regulate temperature, fan speed, and operating modes effectively. The system utilizes adaptive control techniques to reduce energy consumption during low occupancy while maintaining comfort during high occupancy. This intelligent mechanism enhances energy efficiency and minimizes power wastage. Additionally, IoT-based connectivity enables remote monitoring and system optimization. Overall, the project provides a smart, energy-efficient, and sustainable solution for modern indoor environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20281291
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards Smarter Cooling: An Occupancy-Driven Intelligent Ac Control System

S. Kanishkar, G. Sundar, R. Rakul, M. Janani et al.
Zenodo (CERN European Organization for Nuclear Research)
Building Energy and Comfort Optimization
article

Towards Smarter Cooling: An Occupancy-Driven Intelligent Ac Control System

S. Kanishkar, G. Sundar, R. Rakul, M. Janani, M.S.Sreema, R.R.Abhiroopa
article en

Abstract

The project “Smart Occupancy-Based Air Conditioning Control System for Energy Optimization” presents the design and development of an intelligent cooling system that dynamically adjusts AC operation based on real-time occupancy detection. The system integrates occupancy sensors, IoT connectivity, and automated control mechanisms to monitor the number of occupants and environmental conditions. Powered by a microcontroller, it continuously analyses data to regulate temperature, fan speed, and operating modes effectively. The system utilizes adaptive control techniques to reduce energy consumption during low occupancy while maintaining comfort during high occupancy. This intelligent mechanism enhances energy efficiency and minimizes power wastage. Additionally, IoT-based connectivity enables remote monitoring and system optimization. Overall, the project provides a smart, energy-efficient, and sustainable solution for modern indoor environments.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 6%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.