The goal of this paper is to deliver an outline of knowledge evaluation in SGs with matlab focus on sub areas, aspects of research, options, research methods, tool aid, and replicability/reproducibility considerations. We aim at complementing old survey analysis like matlab programming one from Alahakoon et al. , with matlab more systematic review by aggregating fine grained knowledge from published articles in different sub domains of SG data analysis, with matlab programming following main contributions:a large Systematic Mapping Study SMS on Smart Grids data analytics, adding 267 papers. To our capabilities, this is matlab programming largest review in matlab programming SG data analysis domain in terms of included articles;a categorization of different SG data analysis sub domain names, with cross reducing features corresponding to suggestions used, research methodologies, facets investigated, replicability considerations with matlab programming availability of source code and datasets. While an SMS cannot be sure that all analysis is lined , it adds matlab systematic sampling mechanism to search for research features holistically;The article is based as follows. In phase II, we deliver an overview of Smart Grids concepts: mainly architecture and accessories of matlab programming SG infrastructure. 483Ramus, F. , Rosen, S. , Dakin, S. C. , Day, B. L.