AI and Digital Tech Expertise

DG Intelligent Systems works with cutting-edge digital companies leveraging the power of technology to measure, monitor and dispatch distributed energy systems to the optimal advantage of the grid and people who rely upon it.

Today’s headlines are sounding alarms about dynamic new energy loads straining energy grids due to power-thirsty datacenters coming on-line to develop Artificial Intelligence (AI) capabilities. Creating digitally controlled, clean, distributed energy systems is the best way to avoid power meltdown while adding new sources of flexibility and localized power to support economic activity and development.

DG Intelligent Systems works with technologists on a range of smart energy communications and controls devices that enhance distributed systems and improve overall project economics.

Electric Vehicle (EV) Equipment

We aim to include digital electric vehicle (EV) charging equipment to our DG projects where it makes sense to support local clean transportation systems and open up a range of new transactions to support businesses.

Distributed Intelligence (DI) in Energy Meters and Other Equipment

We also work with technologists embedding next generation electric meters, panels and other equipment with distributed intelligence capabilities to submeter electric motors and equipment in homes and businesses and allow for bi-directional energy information flows. This information harnessing and distribution underpins the creation of new home and business energy marketplace platforms, where energy system upgrades and transactions are seamlessly executed.

IoT-Enabled Battery Energy Storage Systems

Another exciting client segment includes battery manufacturers augmenting products with IoT solutions that allow for real-time measurement of power consumption and flow and optimize their storage devices to take advantage of financial arbitrage opportunities. These manufacturers are highly attuned and responsive to grid needs (e.g., storing when power is cheapest and disbursing when power prices are most lucrative).