Abstract:
Smart home devices are currently increasing in our daily lives, due to theconvenience that users can easily access IoT devices to monitor and control theirhomes using smartphones and internet. Energy and water conservation arecrucial, especially for household appliances, given the growing pressure toprotect the environment for the sake of our planet. Since refrigerators, airconditioners, washing machines, and desert air coolers are necessary energy andwater users, this study will focus on investigating sustainable innovation inthese household appliances. The goal of the paper will present better systemsthat ensure better resource utilization and efficiency in addition to user comfortby utilizing IoT integration, premium sensors, and machine learning algorithms.The incorporation of AI-driven predictive maintenance further enhancesreliability and reduces waste by alerting users to potential failures before theyoccur. Additionally, the development of user-friendly mobile and web interfacesempowers consumers to monitor and manage their appliances in real time,fostering energy-conscious behavior. Although smart appliances may have ahigher initial cost, long-term savings on utility bills make them a financiallyviable investment. highlights the transformative potential of smart homeappliances, reinforcing the role of technology in promoting sustainable living.Future advancements will only enhance their efficiency, shaping a moreresource-conscious and eco-friendly future.
Page(s):
128-128
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
Energy Efficiency
,
machine learning
,
Internet Of Things Iot
,
Home automation
,
Smart Buildings