Application of SVR optimized by Modified Simulated Annealing (MSA-SVR) air conditioning load prediction model

In conditioning air load prediction model based on SVR model, the Simulated Annealing (SA) has been provided in order to surmount the disadvantage that the SVR model selects learning parameters depending on experience. The Modified Simulated Annealing (MSA) has been proposed to optimize the SVR prediction model, in which the annealing plan and disturbance range has been improved. Case researches in the paper show that MSA algorithm is of strong global optimization capability, good robustness and short calculation consumption. Compared with SA-SVR model and the VFSA-SVR model, MSA-SVR air conditioning load prediction model, the results show SVR model parameters obtained through MSA optimization can effectively improve the predication accuracy and stability of the air conditioning load prediction.