Tom Martin works directly with clients on the execution of E Source data science. Prior to this role, Tom worked at PG&E, where he led the implementation of new technology and analytics in support of PG&E’s electric operations as the utility looked to reduce operational costs, improve safety, and increase reliability in support of grid modernization.

Content by this author

Cut costs and improve grid reliability with data-driven vegetation management

Tom Martin
November 23, 2020

Advances in technology and predictive data science are providing new opportunities for utilities to evaluate vegetation-management processes, achieve operational efficiencies, and save money. The E Source GridInform solution can help utilities calculate a vegetation risk score and plan next steps.

How to use predictive data science to plan for utility operations post-COVID-19

Tom Martin
May 20, 2020

COVID-19 has affected every major industry around the world. For example, utilities have stopped shutoffs for nonpayment at least through May 31. No doubt a necessary act, but it will cause complications: a significant number of utility customers will be overdue on their bills in the next 24 months.