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What deep learning can teach utilities: Gaining insight from self-organizing maps

March 25, 2020 / Jill Feblowitz / Artificial Intelligence, Data and Analytics, Deep Learning, Distribution Grid

Duke Energy has a reputation for deploying analytics to solve business problems. The Data Science role at Duke was defined in 2014, with the first Data Scientist hired in 2015. Duke Energy now has over 80 data scientists across the enterprise. One senior data scientist, Miguel Sanda, has been exploring how the self-organizing maps (SOMs), unsupervised deep learning algorithms for pattern detection, can provide value to utilities.

For more information, see What deep learning can teach utilities:  Gaining insight from self-organizing maps, UAI, November 2019.

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