Our platform controls and monitors local resources, such as heat pumps in buildings or electric vehicles, to reduce their energy consumption and carbon footprint and dispatch services to the grid, opening up new revenue streams for energy management system providers. This ultimately benefits grid operators, who can cost-effectively integrate and use these local energy resources at grid level.
We use data-driven control to optimize building operations. By continuously learning and adapting based on the data it receives, our technology enables heating and cooling systems in buildings to operate more efficiently, responding to current conditions. It also allows buildings to adjust to changes in energy availability, such as renewable energy production or electricity prices, contributing to grid balancing.
Our technology enables electric vehicles to provide grid services that enhance the efficiency of our energy system. Electric vehicles can be used for site self-consumption maximization by storing electricity surplus produced by photovoltaic systems and releasing it during peak hours, for load peak shifting in grid congestion occurrences or for voltage and frequency regulation by consuming or injecting power when the grid constraints are violated.
We empower grid operators by providing forecasts of energy availability from local resources. Our platform not only predicts this availability over customized time horizons but also facilitates real-time dispatch of grid services. By leveraging these forecasts and dispatched services, grid operators can optimize the use of local energy resources, enhance grid stability, integrate more renewable sources, and support the transition to a more sustainable energy landscape.
