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The paper describes the data mining within district heating environment (physical data - temperatures and flow rates) as a basis of control and optimization of a particular district heating region. The cycle is defined: the gained data transmission to a cloud solution, subsequent data formatting and their processing by applications designed within the MindSphere® environment. The particular segments of the introduced solution are: design, activation and debugging of the senders of all wireless sensors.

Implementing Cloud Solutions to Optimize the Operation of District Heating Networks with Preparation for MindSphere®