Director of Strategic Accounts
Alex is the director of strategic accounts at AutoGrid Systems, where he heads utility engagement for many of the data analytics solutions offered by AutoGrid. He works closely with AutoGrid’s largest domestic utility customers and his role includes assembling a cross-disciplinary team to define, implement, and manage early stage applications for Autogrid’s Energy Data Platform. In this capacity he has been central to the development of new solutions around peak demand management, customer segmentation, and distribution grid maintenance, among others. Alex has a background in leading high-performance teams as well as bringing a broad spectrum of resources to bear in order to solve complex problems in dynamic environments. Before joining AutoGrid, Alex served as an officer in the US Navy SEAL teams and subsequently earned an MBA and MS from Stanford University. He also holds a BSE in Civil Engineering from Duke University.
“Turning Data into Power”
DATE: WEDNESDAY, SEPTEMBER 30, 2015
TIME: 10:15 AM – 10:45 AM
ROOM: SUNSET B
Utilities, traditionally tasked with managing centralized energy generation assets over one-way distribution grids, are increasingly faced with the challenge of integrating distributed energy resource (DER) assets. While the term DER is most often associated with rapidly advancing technology like PV cells and lithium ion batteries, even legacy solutions like demand response are playing a revitalized role in the dynamic distributed grid of the future.
This presentation will address how the exploding volume of data associated with a smart and interconnected grid can be a resource for utilities to address this challenge. Through powerful and scalable big data techniques, utilities can apply predictive analytics, behavioral algorithms, and a physics-based understanding of the grid to secure a comprehensive, dynamic portrait of their power systems. This portrait allows operators to access and control energy resources throughout the service territory in real-time, enabling seamless integration of distributed and intermittent energy technologies, like wind and solar, into their operations.
With data-enabled predictive controls, distributed energy resources need not be a threat to utilities. Rather, they are an opportunity to lower capital costs, reduce greenhouse gas emissions, and increase customer satisfaction.