This is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries. Readers will gain a thorough understanding of Scikit-learn, TensorFlow, PyTorch, Keras, and other pivotal libraries like XGBoost, LightGBM, and CatBoost, which are integral for efficient model development and deployment.The book delves i...

This book provides in-depth information about the latest trends in transformer insulation design. This practical guide is prepared from a hands-on perspective, offering readers valuable insights into the trends in liquid dielectrics for transformer applications. Chapter 1 covers the necessity of alternate liquid dielectrics for transformers. Chapter 2 delves into the historical development of liquid dielectrics for transformer applications, drawing insights from reputable publications. It ...

This book outlines the global opportunity to increase solar photovoltaic (PV) plant energy yields through modelling and analysis. Because it is endlessly available in Earth’s atmosphere, solar PV energy extraction is rising faster than all other renewable energy sources worldwide. Thus, technological improvements are needed to lower the cost of solar PV per watt every year. Since solar PV efficiency is low, modelling and analysis of boost converters, maximum power point tracing, solar PV c...

In today’s complex and interconnected electrical power systems, maintaining high power quality is crucial for efficient operation and reliability. This book delves into the intricacies of power quality issues, with a special focus on harmonics and their mitigation through advanced filter design and control strategies. It is tailored for both professionals and students in electrical engineering, power systems, and power electronics. It offers a detailed exploration of the following key topi...