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iThis thesis investigates the applicability of multi-agent systems as a control approach for district heating systems. The consumers, i.e., the heat exchange systems, in current district heating systems are purely reactive devices and have typically no communication capabilities. They are only able to make local decisions without taking into account the global situation in the system. In this work, the possibilities of a new type of heat exchanger systems that has an open software environment and communication capabilities are explored. Operators of district heating systems have several, often conflicting, goals, e.g., to satisfy the demand of the customers and to minimize production costs. Major concerns are how to cope with the uncertainty caused by discrepancies between the estimated and actual customer demand, and the temporal constraints imposed by the relatively long production and distribution times (up to 24 hours). The approach studied in this thesis is to equip each consumer with an agent that makes predictions of future needs and to form clusters of consumers within which it is possible to redistribute resources fas