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Decreasing cost and increasing capabilities of instrumentation, networks and data repositories have pervaded the industrial automation and power markets and opened the door for large scale collection and analysis of data. There are a variety of technology stacks that can be applied to these types of activities. However, no single infrastructure or architecture fits all the scenarios. With limited...
Nowadays large volumes of industrial data are being actively generated and collected in various power system applications. Industrial Analytics in the power system field requires more powerful and intelligent machine learning tools, strategies, and environments to properly analyze the historical data and extract predictive knowledge. This paper discusses the situation and limitations of current approaches,...
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