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July 17, 2026Journal of Building Performance Simulation

Development of an EnergyPlus calibration tool for automated multi-objective calibration of building energy models using a hybrid enhanced NSGA-II algorithm

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Authors

FBFuad Baba

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Overview

Randomized trial evaluates a new calibration tool for building models, indicating significant improvement in accuracy and efficiency.

Key Points

  • The objective is to develop an automated tool that calibrates building energy models efficiently and accurately using a hybrid algorithm.
  • Introduced an automated calibration tool for EnergyPlus models allowing user-uploaded measured data.
  • Utilized a Hybrid Enhanced NSGA-II algorithm to optimize multiple objectives.
  • Evaluated model accuracy using RMSE (Root Mean Square Error) and NMBE (Normalized Mean Bias Error).
  • HE-NSGA-II required 36–42% fewer generations for convergence.
  • Achieved 66–69% savings in runtime compared to existing methods.
  • Improved RMSE by 59–67% across various validation scenarios.

Cite This Study

Fuad Baba (2026) studied this question.

synapsesocial.com/papers/6a59c5a7a58755010b4711b2https://doi.org/10.1080/19401493.2026.2703021
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