EPOS – Economic Planning and Optimized Selections

Decentralized combinatorial optimization for sustainable and self-managed distributed systems. Collective decision-making that matters.

Local and global costs in balance.

Flexible and autonomous scheduling of resources.

State-of-the-art decentralized combinatorial optimization.

Cooperative decision-making for resource allocation.

Bridging the gap between local and global sustainability





What an EPOS agent does

Connects into a decentralized hierarchical network.

Generates a set of possible plans that schedule resources in a future horizon.

Interacts with connected agents and exchanges information used for collective decision-making.

Repeats the process and learns how to make better decisions.

Application Example

1. Residential power consumers participate in demand-response programs for energy costs reductions and improved reliability.

2. Residential appliances equipped with the EPOS agent are connected to the Internet and compute scheduling options for their power consumption.

3. EPOS agents interact and collectively select a schedule that reduces costs, power peaks or shifts demand to times of high availability in renewables.

More Applications

Bike Sharing

Coordination of Electrical Vehicles