How AI-Driven Energy Storage Lowers Energy Bills and Transforms Grids


The nature of U.S. electricity is changing greatly: utilities must manage an increasingly decentralized grid fed by variable renewable energy, requiring more expensive real-time energy management at specific grid points. As a result, commercial customers face rising rates and operational costs, while some are even looking for ways to participate in the energy markets to maximize their economic opportunities.

The Artificial Intelligence behind customer-sited energy storage “as a service” gives more control to the consumer to avoid increasing rates, co-optimize energy management approaches in one (including onsite solar, demand response, or demand charge cost savings), and access new energy market revenues.

This session will discuss intelligent energy storage’s three AI pillars: Advanced IoT that connects thousands of intelligent edge devices, edge computing to leverage the power of distributed autonomous controls, and machine learning and neural networks where AI modeling of distributed energy assets and loads can hone predictive energy use capabilities to continuously improve optimization decisions and reduce latency.

Corporate engineering leaders will:
• Learn how AI is being used with energy storage to automatically reduce operating costs and fulfill sustainability goals
• Hear how AI coordinates onsite clean energy management options
• Discover competitive advantages from participating in new energy market opportunities

Presented By

Larsh Johnson
Cheif Technology Officer
Stem, Inc.

As Chief Technology Officer at Stem, Larsh Johnson is leading hardware and software engineering to meet the needs of Stem’s C&I, utility, and energy market customers. Prior to joining Stem, Larsh was Chief Technology Officer at Siemens Digital Grid, where he led technology development teams on products spanning from consumer metering, demand response and analytics to control center software and grid automation. He joined Siemens via the acquisition of eMeter, a Bay Area software company of which he was a co-founder and responsible for innovation and development of meter data management, analytics, and advanced smart grid applications. Prior to eMeter, he co-founded CellNet Data Systems, a pioneer in wireless networks for smart metering and distribution automation and now a unit of Landis+Gyr. Larsh was a founding member of the DOE’s Gridwise Architecture Council (GWAC) and remains a Member Emeritus. He earned a B.S. and an M.S. in Mechanical Engineering from Stanford University.