Transformers Magazine, Vol. 9 No. SE2, 2022.
Editorial
Editorial messages
Mladen Banovic
Abstract
Dear readers,
The goal of this special edition was to shed light on the application of machine learning and artificial intelligence in the transformer industry, contributing to a better understanding of the requirements and available solutions. Expectations from these technologies are high in terms of what they can provide in various fields: monitoring, diagnostics, control, maintenance, perhaps even design, etc. A particular advantage of AI and ML technologies is the ability to predict future conditions, which opens up space for completely new paradigms, especially in maintenance.
AI and ML technologies are also highly related to digitalization as a dominant global trend, which facilitates agile business models that respond to challenges within emerging markets. Digitalization also leads to a surge in data generation and accumulation, and with proper analysis, these data are expected to significantly secure and improve the grid performance and resolve various customer demands. This is also why we need solutions for understanding the data and learning from it.
In addition, the speed and reliability of obtained information become essential, so all these trends are greatly supporting each other. Therefore, significant growth in investments and businesses related to this field is expected in near future.
However, there are also challenges such as testing, deployability, scalability, transparency, affordability, and cyber security.
I’m glad that a group of great authors together with our respectable Guest Editorial team have prepared high-quality articles this issue brings, addressing the above-mentioned key aspects.
I hope you will enjoy your reading.
Keywords
Hrčak ID:
286634
URI
Publication date:
29.11.2022.
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