Smart Grids Data Analysis: A Systematic Mapping Study

This publication doesn't include Faculty of Arts. It includes Institute of Computer Science. Official publication website can be found on


ROSSI Bruno CHREN Stanislav

Year of publication 2020
Type Article in Periodical
Magazine / Source IEEE Transactions on Industrial Informatics
MU Faculty or unit

Institute of Computer Science

Keywords Cyber-physical systems; data analytics; literature survey; smart grids (SG); systematic mapping study (SMS)
Description Data analytics and data science play a significant role in nowadays society. In the context of smart grids, the collection of vast amounts of data has seen the emergence of a plethora of data analysis approaches. In this article, we conduct a systematic mapping study aimed at getting insights about different facets of SG data analysis: application subdomains (e.g., power load control), aspects covered (e.g., forecasting), used techniques (e.g., clustering), tool support, research methods (e.g., experiments/simulations), and replicability/reproducibility of research. The final goal is to provide a view of the current status of research. Overall, we found that each subdomain has its peculiarities in terms of techniques, approaches, and research methodologies applied. Simulations and experiments play a crucial role in many areas. The replicability of studies is limited concerning the provided implemented algorithms, and to a lower extent due to the usage of private datasets.
Related projects: