Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

Smart Home Appliances for a Sustainable Future: IoT and AI-Driven Energy and Water Optimization

Authors
Om Kotwani1, *, Aryan Kotwani1, Mayank Nayak1
1Department of Computer Science & Engineering, Shri Shankaracharya Institute of Professional Management & Technology, Raipur, CG, India
*Corresponding author. Email: om.kotwani@ssipmt.com
Corresponding Author
Om Kotwani
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_99How to use a DOI?
Keywords
Smart Home Appliances; IoT; AI; Energy Optimization; Water Conservation
Abstract

With the increased pressure for environmental conservation concerning our planet, there is a great need for energy and water preservation, particularly in home appliances. This research is devoted to examining sustainable innovation in refrigerators, air conditioners, washing machines, and desert air coolers because these household appliances are essential energy and water users. The paper uses IoT integration, top-shelf sensors and machine learning algorithms and the aspiration is to present better systems that guarantee improved resource utilization and efficiency in addition to the comfort of the user. Based on the proposed concepts of resource-saving mechanisms such as real-time monitoring, predictive maintenance, and adaptive operation modes, this paper presents a concrete system requirement and system design to accomplish the integration. As such, these solutions reduce the deficiencies in classic appliance designs, all the while satisfying global energy standards and water-saving objectives. The approach used is a current innovation review combined with a concept design methodology together with simulations and user-oriented aspects. The presentation of these innovations is evidence of how the study promotes them as solutions to decrease the environmental impact of households as well as support the developments of more sustainable home appliance environments.

Copyright
© 2025 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.

Download article (PDF)

Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_99How to use a DOI?
Copyright
© 2025 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.

Cite this article

TY  - CONF
AU  - Om Kotwani
AU  - Aryan Kotwani
AU  - Mayank Nayak
PY  - 2025
DA  - 2025/06/22
TI  - Smart Home Appliances for a Sustainable Future: IoT and AI-Driven Energy and Water Optimization
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 1286
EP  - 1297
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_99
DO  - 10.2991/978-94-6463-738-0_99
ID  - Kotwani2025
ER  -