Use of IoT and Machine Learning for Efficient Power Management Through Smart Grid: A Review

Abstract

The rising demand for efficient power distribution and management has brought enormous opportunities for researchers. It has resulted in moving from the traditional grid system to the smart grid (SG) system and IoT has emerged as the backbone for the same. SG system brings renewable resources into the traditional grid and from the smart meter to the smart grid, which help to maintain a better relationship between demand and supply The objective of this paper is to review the related work in IoT and machine learning which attempts to transform the traditional grid into a smart grid. IoT deployment in this process leads to the generation of a huge amount of data, which after analysis, through machine learning helps in load forecasting and further power management. This paper aims at helping the researchers to explore further possibilities making the power grid smarter.