📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Artificial Neural Networks-Based Multi-Objective Design Methodology for Wide-Bandgap Power Electronics Converters (2022)

First Author: Rajamony R

Attributed to: HIGHLY EFFICIENT, RELIABLE AND SMALL-SIZED POWER CONVERTERS FOR SOLAR ENERGY STORAGE SYSTEMS funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/ojpel.2022.3204630

Publication URI: http://dx.doi.org/10.1109/ojpel.2022.3204630

Type: Journal Article/Review

Parent Publication: IEEE Open Journal of Power Electronics