How Deep Learning Helps Utilities Facilitate Automation and Innovation

UAI and Mosaic Data Science (MDS) recently hosted a virtual roundtable with utility representatives from Con Edison, National Grid, Enbridge Gas, CenterPoint Energy, Grant County Public Utility District, Florida Power & Light, The Energy Authority, and One Gas, to discuss deep learning use cases and adoption barriers.

Fundamentals of Deep Learning

Deep learning is one of the most essential building blocks of artificial intelligence, and no one is successfully deploying ‘real’ AI without deep learning. Mosaic defines deep learning as a subset of machine learning algorithms that analyze data with a logic structure inspired by how a human brain would draw conclusions. Traditional machine learning generates a prediction by human training and validating an algorithm on historical data. Deep learning differs from formal machine learning because deep learning algorithms have many hidden layers and can remove the human process of feature engineering, algorithm selection/validation. It is excellent for modeling decisions that are highly complex, and there is no need to sacrifice performance for explainability.

To read the full article see "How Deep Learning Helps Utilities Facilitate Automation and Innovation: Executive Summary," which originally appeared on Utility Analytics Institute, an Endeavor Business Media partner site.