11:15  -  12:00

May 7, 2019

Harris

204: Artificial Intelligence-Driven Personalized Customer Engagement, Grid Planning, and Monetizing Opportunities

The industry has moved from theory to practice in driving key decisions through a data-driven process. Smart Meters, installed on the premise that data will be used to provide customer and utility value, offer potential; however, techniques applied to smart meter data are still in their infancy. Utilities have yet to realize the full value that can be extracted from meter data beyond weather based regressions and simple machine learning models.

Learn from the creators of the most advanced meter data analytics in the industry about how applying Artificial Intelligence (AI), Machine Learning (ML) and pattern recognition techniques on both AMI and non-AMI meter data unlocks key opportunities. Case studies include capitalizing on Electric Vehicle adoption, optimizing the industry’s $3B annual spend on DSM budgets, and creating a hyper personalized customer experience.