book

Applications of AI and IOT in Renewable Energy

by Rabindra Nath Shaw, Ankush Ghosh, Saad Mekhilef, Valentina Emilia Balas

February 2022

Intermediate to advanced

246 pages

6h 25m

English

Academic Press

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Abstract1.1 Introduction1.2 Proposed work1.3 Simulation results and comparison1.4 ConclusionReferences
Abstract2.1 Introduction2.2 Problem formulation2.3 Algorithm2.4 Interior-point technique and KKT condition2.5 Test results and discussion2.6 ConclusionReferences
Abstract3.1 Introduction3.2 Marine current conversion system modeling3.3 Control of the permanent magnet synchronous generator using passivity method3.4 Passivity-based speed controller computation3.5 Grid-side converter control3.6 Simulation and experimental results3.7 ConclusionReferences
Abstract4.1 Introduction4.2 Mathematical description of the hybrid energy system4.3 Mathematical description of the hybrid energy system4.4 Numerical results4.5 ConclusionReferencesFurther reading
Abstract5.1 Introduction5.2 Related work5.3 Proposed methodology5.4 Deep Q-learning5.5 Results analysis and discussion5.6 Conclusion and future workReferences

Abstract6.1 Introduction6.2 Related work6.3 Internet of things in renewable energy sector6.4 Proposed methodology6.5 Renewable energy system for industrial internet of things model6.6 Results analysis6.7 ConclusionReference
Abstract7.1 Introduction7.2 Challenges in disturbance detection7.3 Requirements for classifier development7.4 Centralized fault localization method7.5 Numerical simulations7.6 ConclusionReferences
Abstract8.1 Introduction8.2 Components of charging station8.3 Control systems strategies8.4 Simulation and result8.5 ConclusionReferences
Abstract9.1 Introduction9.2 Prediction of solar power generation9.3 Experiments and results9.4 Conclusion and future workReferences
Abstract10.1 Introduction10.2 Literature survey10.3 Prediction methodology10.4 Artificial Neural Network10.5 Data description10.6 Key performance indicator10.7 Results and discussion10.8 ConclusionsReferences
Abstract11.1 Introduction11.2 Photovoltaic system11.3 Maximum power point tracking system11.4 Simulation results and discussion11.5 ConclusionReferences
Abstract12.1 Introduction12.2 Modeling of hybrid power system12.3 Control strategy12.4 Proportional-integral-derivative control and performance index12.5 Simulation results and discussion12.6 ConclusıonsReferences

Overview

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