Category Archives: Distribution Grid

Getting Better at Storm Related Outage Prediction

April 20, 2020 / Jill Feblowitz / Artificial Intelligence, Asset management, Data and Analytics, Deep Learning, Distribution Grid, Machine learning, Transmission Grid, Vegetation Management, Weather Forecasting

Utilities need to know the “ground truth” One of the utility’s primary missions is to minimize outage frequency and duration.  Outage prevention is even more important during the COVID-19. Until recently, storm-related outage prediction has been limited by lack of data and the use of spreadsheet-based models. The good news:  Up-to-date granular data (geo-referenced weather […]

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Is your utility ready for smart inverters?

March 25, 2020 / Jill Feblowitz / Distributed Energy Resources, Distribution Grid, Edge computing, Internet of Things, Smart Inverters, Solar

Smart inverters are getting more attention these days with utilities looking to mitigate voltage instability and variability on the system brought forth by distributed energy resources (DER). As the penetration of DERs increases, autonomous operation of smart inverters with pre-programmed responses at the edge will be more and more crucial. For more, read Is your […]

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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 […]

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