A multi-agent control approach is proposed for optimal management of building energy systems.

A multi-agent control framework is developed to reduce the engineering effort in a controller synthesis.

Two distributed optimization algorithms are incorporated in the framework as a multi-agent decision making mechanism.

Testing results in two building control case studies show near-optimal performance of the proposed approach.