A meta-model-based optimization approach for fast and reliable calibration of building energy models

Highlights The study introduces the meta-model to aid building calibration with optimization. . Gaussian process outperforms Multiple Linear Regression as the meta-model. . A case study is presented to show the proposed approach performance. . The new approach helps overcome optimization complexity and hyperparameter setting. . The involvement of engineering judgement and recalibration is helpfulContinue reading “A meta-model-based optimization approach for fast and reliable calibration of building energy models”