Abstract:
Cyber-physical systems (CPS) are an essential component
of modern applications, but their energy consumption is a major challenge. This
study aims to explore ways to improve the energy efficiency
of these systems by applying advanced artificial intelligence techniques.
Our methodology includes a comprehensive analysis of existing AI-based
methods, with a focus on developing a model that combines deep learning,
multi-objective optimization techniques, and adaptive intelligence
algorithms. Through this research, we aim to provide a viable theoretical
framework for enhancing the sustainability of cyber-physical systems.
The results of this study are expected to contribute to the development
of greener technologies in areas such as the Internet of Things and smart
cities, while maintaining system performance.
