Implementation of Machine Learning for Power Electronics Application Using PYTHON

Summary

This chapter investigates how machine learning (ML) techniques can be applied to power electronics (PE), utilizing the platform of python programming. The python language is applied for coding to solve problems like improving system performance, optimization, fault detection, and predictive maintenance. It discusses the relevance of various ML classification techniques, such as supervised learning, unsupervised learning, reinforcement learning, and neural networks, to power electronics applications and highlights how these ML strategies help create advanced power electronics systems with improved performance, efficiency, and reliability.