IoT and Machine Learning Based Smart Grid System

Abstract

The status of distribution transformers plays an important role in ensuring the secure and stable operation of these grids, owing to the large number of distribution transformers on the distribution grid. The monitoring method and process of fuzzy inference are presented. The IoT-based monitoring system consists of a subsystem for data measurement and a data reception subsystem. Firstly, by using the data measurement system, transformer signals are measured and sent to there mote server. Current power grids are experiencing a rapid transition to their more involved, versatile and intelligent smart grid counterparts, which presents enormous challenges in many ways, such as the convergence of different areas. Distributed sources of renewable energy, cyberspace defense, demand-side management, and system planning and activity decision- making. Also apply an IoT techniques and fuzzy inference machine learning algorithms to achieve more accurate result. For fulfillment of sophisticated features in the smart grid relies heavily on the Knowledge behind it.