AI-Driven Solutions and Emerging Power Technologies for Sustainable Future

This book explores emerging power technologies and AI-driven solutions for a sustainable future. The book contains the proceedings of the second international conference on Emerging Technologies and Applications in Electrical Engineering (ICETAEE 2024). It features contributions from academia, industry, and government, showcasing cutting-edge research and innovations in sustainable technologies. This book focuses on various topics, such as power quality, power systems, green technology, IoT applications in electrical engineering, renewable energy, smart grid, high voltage technologies, etc. Each paper includes detailed mathematical modeling to facilitate a thorough understanding of the concepts, which will be beneficial for future research. The papers also demonstrate the technical ideas through simulations and experiments. The descriptive design and analysis of these techniques are included to make the book more accessible and useful for readers.

Inhalt

Multi Attributes Based Health Assessment of Power Transformer Using MLR.- Quasi Z Source Multilevel Inverter for Standalone Photovoltaic System.- Closed Loop Solution for Inverse Kinematics Using Successive Homogenous Transformation.- Solar Photovoltaic Grid Forming to Evaluate Various Control Algorithm A Review.- Load Forecasting for Chhattisgarh State using a Hybrid CNN LSTM Model.- Bridgeless boost PFC converter based charging system for Electric Vehicles.