A Novel Machine Learning-Based Power Trading Algorithm (MLPTA) for Demand Side Management (DSM)

Abstract

Prosumers are those type of consumers that consume as well as produce the electrical energy. The recent research work is focused on finding more optimal solutions to the power trading scenarios in smart grid. Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers-based smart grid.