An Overview of Artificial Intelligence Applications for Power Electronics

By Shuai Zhao, Frede Blaabjerg, Huai Wang. IEEE transactions on power electronics, 2020

683 citations recorded by the source corpus.

This article gives an overview of the artificial intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics. This article is accompanied by an Excel file listing the relevant publications for statistical analytics.

Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f2f2026f76ebada185531ab95808515923ea5952

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In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Power Electronics Reliability: State of the Art and Outlook (2021, background): “Artificial Intelligence (AI) based condition monitoring methods [112] hold great”