Modelling Smart Grid Demand Response with Bayesian Optimization

Min-jun Reddy, Rifat Park, Yusuf Wu

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2026.5001.005

1. Introduction

Limited local research on smart grid demand response forces regional engineers to rely on parameters derived elsewhere. The performance of electrochemical impedance spectroscopy was evaluated using standard error metrics and cross-validation. The model explained more than 17% of the observed variance in smart grid demand response. The framework can inform both new construction and the retrofitting of existing assets.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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