Sustainable Artificial Intelligence SAI
Year: 2025
Type: article
Abstract: Modern life is increasingly fast-paced, demanding efficiency in energy use, household management, and daily routines. Sustainable Artificial Intelligence (SAI) emerges as an innovative solution, integrating IoT, AI, and sustainable energy to optimize home automation while reducing environmental impact. By leveraging smart devices, machine learning, and renewable energy sources like solar power, SAI intelligently manages household tasks such as heating, cleaning, and appliance scheduling based on user behavior, weather conditions, and energy availability. This system ensures comfort while minimizing electricity costs by prioritizing renewable energy and feeding excess power back to the grid. SAI transforms daily living by anticipating needs: it prepares homes for morning routines, schedules energy-intensive tasks during peak solar hours, and adjusts settings upon user arrival. Its adaptive learning enhances efficiency, postponing non-essential tasks when renewable energy is scarce. The result is a seamless, cost-effective, and sustainable lifestyle that reduces reliance on fossil fuels, lowers carbon footprints, and alleviates the stress of manual household management. As smart technology evolves, SAI represents a critical step toward energy-independent, eco-friendly living balancing automation, sustainability, and human-centric design for a smarter, greener future.
Authors: Obeid, Fadi, El Jallad, Soufie
Institution: Universidad Católica de Murcia
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6912016505
FWCI: 0.228
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