“Intelligent heating system” have widely established their position as a research field during the last decade. Nowadays the technical solutions related to energy resource management are being rapidly developed and integrated into the daily lives of people. The methodology to provide fast online fault detection in intelligent heating control system data-set using scan statistics method is described. Scan statistics have long been used to detect statistically significant bursts of events. This research system work scenario faults in time enables to detect the most problematics scenarios of temperature calibration process, check the efficiency of the decisions taken to select the work strategy and proposes to use a context sensitive and proactive fuzzy control system for controlling temperature actuator in heating system using.