Session Category: Duke Energy Showcase

This year founding UAI member and host utility, Duke Energy, will showcase different aspects of its analytics portfolio from across the enterprise. Duke is known for its aggressive stance on business transformation through new technology and is an innovator among utilities.

May 7, 2019

10:00  -  11:00

Independence

105: Enterprise Distribution System Health

Duke Energy’s “Enterprise Distribution System Heath” program is a study in unleashing the synergistic power of merging a geospatial platform with Big Data analytics. This tool is leveraged by Power Quality and Reliability engineers across the company seeking to improve the performance of the electrical distribution system. Duke was searching for a solution to help … Continued

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305: Leveraging AMI and The Self Organizing Map for Pattern & Anomaly Detection

2:00  -  3:00

Grand Ballroom B

305: Leveraging AMI and The Self Organizing Map for Pattern & Anomaly Detection

Given the large amount of data that power generation, transmission and distribution generate, the need to combine grid data with other sources of information to proactively identify patterns leading to outages and poor power quality is essential to create more business value. The Self Organizing Map (SOM), an unsupervised machine learning technique, has been successful … Continued

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405: From Zero to Infinity: Duke Energy Showcase

3:15  -  4:30

Grand Ballroom B

405: From Zero to Infinity: Duke Energy Showcase

Join our panel of experts from host utility Duke Energy as they showcase their analytics portfolio from across the enterprise and discuss how they are tackling business transformation head on and in the most innovative of ways. Don’t miss the takeaways you could apply at your utility.

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May 8, 2019

9:15  -  10:15

Independence

505: Two Analytical Approaches for Lead Generation: Image Analytics for Pool Pump Promotion & Firmographics for Non-res Lead Generation

The team at Duke Energy will share two recent analytics use cases: The first will share a recent project where they used a machine learning model to identify in-ground swimming pool from aerial imagery to solve a business problem. The second, will share how they leveraged business analytics related to small-medium and large businesses to … Continued

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