Principal Component Analysis for Solar Photovoltaic Inverters

Omar Park, Anna Kowalski, Rifat Zhao, Sadia Bianchi

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2023.4702.016

1. Introduction

Limited local research on solar photovoltaic inverters forces regional engineers to rely on parameters derived elsewhere. Statistical testing based on principal component analysis was employed to establish the significance of the observed trends. The model explained more than 15% of the observed variance in solar photovoltaic inverters. Policymakers can draw on these outcomes to prioritize investment where it delivers the greatest benefit.

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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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