We developed software that optimizes electricity flows among multiple entities within an energy community. Using production and consumption forecasts, it saves 5–10% more costs compared to optimizing individual households separately. The savings are then fairly distributed among all community members.
Energy communities need a system that helps them better utilize electricity during independent operation. Current approaches work separately, so individual entities do not cooperate, resulting in unnecessary energy overflow into the grid or inefficient consumption for businesses and households.
We developed predictive energy flow management software that:
The system can include all entities within a community, efficiently manage controllable consumption, and consider diverse optimization goals. The simulation tool can estimate expected impacts, suggest an optimal community composition, and fine-tune configuration parameters. The result is an additional 5–10% savings compared to managing each member independently.