Research Article

, 02 Jan 2026 | 10.62346/ijbsip_q1_v13_no1_26_05
Year : 2026 | Volume: 13 | Issue: 1 | Pages : 1-7

Signal Processing Framework for Occupancy-Aware Energy Optimization in Smart Buildings

  • 1Anna University, Chennai, Faculty, Department of ECE, K. Ramakrishnan college of engineering, Tamilnadu, IN
The smart buildings consume lot of electricity because lights and air conditioners are used too much. That's why these devices often stay on even when no one is present in the hall. There is a growing environmental concern about the saving of energy so that this signal processing framework is required. By checking if a room is occupied, buildings can save energy by making the space comfortable for people without any disturbances. The system uses sensors to detect people and turns lights and air conditioners on or off as per the movement and heat released from humans. The system operates with minimum response delay ensuring effective framework for smart buildings.

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Keywords: Occupancy Detection; PIR Sensor; Smart Room Automation; Signal Processing; Real-Time Simulation; Energy Efficiency; IoT Integration; Human Presence Detection; Virtual Device Control; Smart Building System.

Citation: Ms. Anusuya*,Ms. Anusuya ( 2026), Signal Processing Framework for Occupancy-Aware Energy Optimization in Smart Buildings . , 13(1): 1-7

Received: 10/12/2025; Accepted: 02/01/2026;
Published: 03/01/2026

Edited by:

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*Correspondence: Ms. Anusuya, anusuya.ece@krce.ac.in


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