دانلود کتاب اینترنت اشیا، یادگیری ماشین و فناوری‌های بلاک چین برای انرژی‌های تجدیدپذیر و سیستم‌های برق هیبریدی مدرن

Renewable energy resources are alternative to fossil fuels and it always stands for ‘new findings’ with challenges by the researcher to fulfill the power and energy demand. The book “IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems” will provide an enhanced solution for various aspects of IoT, machine learning, and blockchain applications from the editors and diverse authors.
This book covers the different sections dealing with fundamentals and applications of IoT, machine learning, and blockchain technologies in renewable energy and hybrid power systems. It includes case studies like power quality monitoring for low voltage distribution systems through IoT, health monitoring of distribution transformers through IoT, blockchain with SHA256, 384, and 512 application to renewable energy resources, etc.
It well describes topics with theoretical-based analysis and followed by numerical solutions and simulation results, case studies which make additional credit to readers for their future research or profession.
The chapters are lucidly covering the significant and bottle-neck challenges prevailing in the renewable energy and hybrid power systems, enabling the reader to better understand. The book will be readily available as reference materials for IoT, machine learning, and blockchain technology applications to renewable energy & hybrid power systems, and enabling the student community to create more interest and attention to take up the challenging renewable energy profession for their endeavors.
It is a unified contribution by international authors from Europe, India, China, Nepal, the USA, Egypt, Saudi Arabia, and Thailand.