Evolution of knowledge mining from data in power systems: The Big Data Analytics breakthrough

This paper presents an overview of the evolution of knowledge extraction from power systems data since 1980’s up to date. As the existing literature in this application domain is vast and has exponentially grown over the last years, this work remarks the key relevant milestones and contributions tha...

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Bibliographic Details
Published in:Electric power systems research 2023-05, Vol.218, p.109193, Article 109193
Main Authors: Dominguez, Xavier, Prado, Alvaro, Arboleya, Pablo, Terzija, Vladimir
Format: Article
Language:English
Subjects:
Artificial Intelligence
Big data
Data analytics
Data mining
Distribution networks
Power systems
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Summary:This paper presents an overview of the evolution of knowledge extraction from power systems data since 1980’s up to date. As the existing literature in this application domain is vast and has exponentially grown over the last years, this work remarks the key relevant milestones and contributions that may allow readers to concisely capture the foundations and evolution on which the modern Big Data Analytics (BDA) framework is deployed in this field. Here, it is covered from the first Artificial Intelligent solutions that relied on rule-based expert systems, passing through the usage of Data Mining techniques and arriving to the BDA unfolding, including its trends and prospects in the power industry. Due to exponential increase of metering and communication infrastructure deployment, as well as the impact of distributed generation, one of the stages in the power delivery process that has been particularly revolutionized by the BDA breakthrough is the distribution sector. For this context, the latest and most noteworthy perspectives and experiences are also addresses to highlight the relevance and applicability of knowledge extraction from big data in future power distribution networks. •Evolution of knowledge extraction from power systems data since 1980s up to date.•Milestones to capture the evolution of Big Data Analytics in power systems.•Concise explanation of ideas to support early readers on this topic.•Explanations of current BDA trends are explained in an integral manner.•Explanations backed with a curated selection of renowned highly cited publications.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2023.109193