Smart Grids and Internet of Things

7Effective Load Balance in IOTSG with Various Machine Learning Techniques

Thenmozhi K.¹*, Pyingkodi M.² and Kanimozhi K.³

¹ Department of CS, Kristu Jayanti College Autonomous, Bengaluru, India

² Department of MCA, Kongu Engineering College, Perundurai, India

³ Department of IT, Sri Krishna Adithya College of Arts and Science, Coimbatore, India

Abstract

In this chapter denotes the Internet of Things (IOT or IoT) incorporated with Smart Grid (SG) system, which can offer resourceful load balancing and meaningful data attainment technique with of cost worthy. Connection and communication is the central core of SG. Through the internet, the node or device can make a communication to other node or device in the system, which is said to be internet of things. In real world data growth become Unsaturated that is handled by the variety of technologies. The data source like geographical data, social data, market data, power system data, weather data, and medical data, and so on. Massive volume of data analysis from SG increase complexity so these data information effectively tackle with machine learning technology integrated with IoT and SG. One of the elementary foundations of machine learning is data mining. It can use together the more accurate data information. It is more helpful to achieve better results in machine learning technique. The passage of the electric part towards smart grids difficulty the ceaseless growth of machine learning techniques since their execution can cordially ...