A Systematic Literature Review of Deep Learning Approaches in Smart Meter Data Analytics

As the identification of the energy consumption represents a crucial part of the smart grid, smart meters are considered one of the most important devices in the evolution of the electrical grid. Following the recent developments which have given rise to deep learning, this paper systematically reviews the literature on deep learning approaches in smart meter data analytics. To systematically structure and analyze the current state of research, we propose a framework for deep learning-based smart meter data analytics, which investigates relevant internationally peer-reviewed literature in the field against the background of the main future challenges of smart meter data analytics. Our research aims to foster the understanding and adaption of modern deep learning methods to solve existing challenges regarding the energy supply and identify future research needs.