AI-Driven Home Climate Optimization: The Role of ChatGPT in Enhancing AC Efficiency

Title

AI-Driven Home Climate Optimization: The Role of ChatGPT in Enhancing AC Efficiency

Creator

Paul S.; Kim Y.-W.

Description

The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) has revolutionized home automation, yet traditional air-conditioning (AC) systems still struggle with energy inefficiency. Our research presents a novel solution, integrating AI, IoT, and user-centric design with ChatGPT, to optimize AC systems responsively to occupants' needs. Our methodology employs ChatGPT's capability to analyze historical data, discern patterns, and provide intelligent recommendations for AC operation. This transcends the functions of standard smart thermostats through AI-driven decision-making, optimizing every AC operational moment for both comfort and energy conservation. The system's foundation in data-driven decisions ensures alignment with external and internal conditions, enhancing energy efficiency and user comfort. 2024 IEEE.

Source

TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

artificial intelligence; ChatGPT; energy efficiency; home automation; internet of things

Coverage

Paul S., Christ (Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Kim Y.-W., Christ (Deemed to Be University), Department of Data Science, Lavasa, Pune, India

Rights

Restricted Access

Relation

ISBN: 979-835038427-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/TQCEBT59414.2024.10545261

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204473464&doi=10.1109%2fTQCEBT59414.2024.10545261&partnerID=40&md5=eab631e4f32816a33af2aaf66ed75d33