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@article{1582076,
author = {Rossi, Bruno and Chren, Stanislav},
article_number = {6},
doi = {http://dx.doi.org/10.1109/TII.2019.2954098},
keywords = {Cyber-physical systems; data analytics; literature survey; smart grids (SG); systematic mapping study (SMS)},
language = {eng},
issn = {1551-3203},
journal = {IEEE Transactions on Industrial Informatics},
title = {Smart Grids Data Analysis: A Systematic Mapping Study},
url = {https://ieeexplore.ieee.org/document/8903549},
volume = {16},
year = {2020}
}
TY - JOUR
ID - 1582076
AU - Rossi, Bruno - Chren, Stanislav
PY - 2020
TI - Smart Grids Data Analysis: A Systematic Mapping Study
JF - IEEE Transactions on Industrial Informatics
VL - 16
IS - 6
SP - 3619-3639
EP - 3619-3639
PB - IEEE
SN - 15513203
KW - Cyber-physical systems
KW - data analytics
KW - literature survey
KW - smart grids (SG)
KW - systematic mapping study (SMS)
UR - https://ieeexplore.ieee.org/document/8903549
L2 - https://ieeexplore.ieee.org/document/8903549
N2 - 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.
ER -
ROSSI, Bruno a Stanislav CHREN. Smart Grids Data Analysis: A Systematic Mapping Study. \textit{IEEE Transactions on Industrial Informatics}. IEEE, 2020, roč.~16, č.~6, s.~3619-3639. ISSN~1551-3203. Dostupné z: https://dx.doi.org/10.1109/TII.2019.2954098.
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