machine learning and AI-driven planning & control
automatically learning, adapting and automating energy optimization tailored to your specific site, local conditions and energy usage all the time
local renewables is an increasingly complicated environment beyond simple human management
depending on tomorrow’s conditions, some days there will be a shortfall in available solar and stored battery energy to meet the daily demand, which means some grid energy will need to be bought
getting the amount and timing right will determine is you have reliable energy at the best available value
renewables systems without predictive management have no insight into future conditions and rely on preset grid charging setpoints which can only ever be optimal if the prevailing conditions tomorrow align by chance with those settings
with a set-point preset at 80% and a minimum SOC of 20% this leaves
60% of battery capacity available for optimization
actively building partnerships with selected leading suppliers and systems integrators
who share our vision and seek rapidly-deployable patented technologies for smarter local renewables which provide immediate additional value for end-user and drive profitable new services

