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

Next-generation programs for an equitable clean-energy future

Tom Martin
May 18, 2021

Join us in this webinar to learn how you can use a data-driven approach to build cost-effective programs that deliver on the vision of a clean-energy future.

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.