Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included.

This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems.

Includes future applications of AI and IOT in renewable energy
Based on case studies to give each chapter real-life context
Provides advances in renewable energy using AI and IOT with technical detail and data

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Yes, you can access Applications of AI and IOT in Renewable Energy by Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Renewable Power Resources. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780323984010

Topic

Technology & Engineering

Subtopic

Renewable Power Resources

Index

Technology & Engineering

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter one. Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
Chapter two. Generators’ revenue augmentation in highly penetrated renewable M2M coordinated power systems
Chapter three. Intelligent supervisory energy-based speed control for grid-connected tidal renewable energy system for efficiency maximization
Chapter four. An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
Chapter five. IoT in renewable energy generation for conservation of energy using artificial intelligence
Chapter six. Renewable energy system for industrial internet of things model using fusion-AI
Chapter seven. Centralized intelligent fault localization approach for renewable energy-based islanded microgrid systems
Chapter eight. Modeling of electric vehicle charging station using solar photovoltaic system with fuzzy logic controller
Chapter nine. Weather-based solar power generation prediction and anomaly detection
Chapter ten. RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
Chapter eleven. Study and comparative analysis of perturb and observe (P&O) and fuzzy logic based PV-MPPT algorithms
Chapter twelve. Control strategy for design and performance evaluation of hybrid renewable energy system using neural network controller
Index