The increasing adoption of electric vehicles (EVs) places significant strain on existing grid infrastructure, potentially leading to instability and requiring costly upgrades. Managing the fluctuating energy demands of EV charging and integrating them with renewable energy sources presents a complex challenge for utilities and fleet operators.

Rhythmos.io provides a modern analytics platform that optimizes EV charging and energy consumption, enabling utilities and fleet operators to manage electricity usage more efficiently. The platform analyzes data from various sources to forecast and model EV charging needs, allowing for proactive management of constrained assets and deferral of infrastructure investments. By providing a holistic understanding of electrical use, Rhythmos.io facilitates the cost-efficient transition to renewable energy and decarbonized transportation. The platform's system-of-systems approach extends existing enterprise applications, offering a less expensive and easier-to-integrate alternative to large-scale distributed energy resource management systems (DERMS).

Real-time monitoring and analysis of EV charging data from diverse sources

Predictive modeling and forecasting of EV charging demand at various grid levels

Optimization algorithms for managed charging to minimize costs and grid impact

Integration with existing utility systems and enterprise applications via open APIs

Support for tariff optimization, demand-charge management, and ancillary service value capture

Customizable dashboards and reporting tools for visualizing key performance indicators

Identification of operational flexibility to coordinate charging needs against utility and market conditions

Rhythmos.io targets utilities seeking to manage EV charging demand and optimize grid stability, as well as EV fleet owners and operators aiming to reduce energy costs and improve operational efficiency. The platform also serves municipalities looking to manage EV charging infrastructure and meet sustainability goals.