Self-Powered Cyber Physical Systems

6Adaptive Energy Intelligence Using AI/ML Techniques

Gowthamani R.¹, Sasi Kala Rani K.¹, Manikandan M.² and Rohini M.¹*

¹ Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

² School of Computing and Information Technology, REVA University, Bangalore, India

Abstract

The world is developing at a quick pace through integrating physics and logic. The high boom of smart in anything (smart phones, smart cities, smart grid, smart industrial internet, smart homes and smart hospitals) and Internet of Things (IoT) enable more users to access data as well as computation power in real-time. Cyber physical system is more and more popular due to its integration services. However, there are several challenges to the improvement of the quality of service in CPS. The constraints of current cyber physical system are a subject of more prevalent concern. In response to these rising difficulties in energy production, new requirements and challenges spring up day by day, especially in energy distribution and optimization that can meet these challenges are sought after. In order to expand the efficiency and to decrease the quantity of energy to be used in cyber physical system for processing, numerous solutions need to be addressed. In this article, an elaborate work of computing machine learning algorithms has to be proposed for CPS is carried out and application areas in the Internet of Things are ascertained.

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