The invention discloses a building dynamic
room temperature prediction method based on an equivalent RC model. According to the method, the influence of disturbance and ventilation in a building is not considered, the heat storage and release effect of a heat accumulator of the building is considered, the heat storage and release capacity of the building is regarded as
heat capacity to analogize acapacitor element in a circuit,
heat transfer resistance of the building is regarded as
heat resistance to analogize a
resistor element in the circuit, and in addition, solar
radiation and heat (cold) are analogized to be a
current source in the circuit. The method applies a
system identification theory. An equivalent RC model structure of a single building is established based on the building thermal process. Model step-by-step driving is carried out by using hour-by-hour
room temperature monitoring data of several different stages in the actual operation process of the building and hour-by-hour heat (cold) supply quantity historical data of corresponding stages; and corresponding hourly meteorological conditions and initial conditions are input, and
model parameters are identified stepby step through a
genetic algorithm (GA), so that an equivalent RC model with determined parameters is obtained, and the dynamic average
room temperature of the building is predicted.