Evaluation of “Autotune” calibration against manual calibration of building energy models
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Background of “Autotune” automatic calibration for building energy models.

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Case Study 1 – Autotune recovery of original inputs from a manually de-tuned model.

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Best result achieved CV(RMSE) = 1.68% and MBE = 0.42% in less than 2 h.

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Over 50% of the 63 tunable parameters recovered within 10% of their original value.

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Case Study 2 – Autotune yields similar results to expert calibrator in less time.

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