Preventing critical power outages through applied data intelligence

Speakers

Gregg Edeson Partner at PA Consulting Group

Tom Bialek Chief Engineer at SDG&E

In his presentation the speaker will talk about the recently developed solutions designed to continually collect and analyze high-frequency data signatures across hundreds of asset types. He will present some of the advanced AI tools and algorithms to identify the warning signs/precursors of an imminent failure in near real-time, allowing proactive replacement of key infrastructure assets before they fail. He will also present case studies of how the applications of machine learning and intelligence can dramatically reduce unplanned power outages. The results of these applications are improved customer satisfaction, reduction of maintenance costs, and increased safety rates.

The speaker will also talk how some specific AI algorithms have expanded to proactively identify degradation of overhead assets would also improve utilities’ ability to preemptively replace faulty equipment/tree contacts that could contribute to “ignition events” in high-risk wildfire zones or weak points that would be vulnerable to storms/wind.