𝔖 Scriptorium
✦   LIBER   ✦
πŸ“

Artificial Intelligence and Internet of Things for Renewable Energy Systems

✍ Scribed by Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Kamal Kant Hiran, Jens Bo Holm-Nielson, Ramesh C. Bansal

Publisher
De Gruyter
Year
2021
Tongue
English
Leaves
320
Series
De Gruyter Frontiers in Computational Intelligence, 12
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

✦ Table of Contents

Preface
Contents
1 Artificial intelligence and Internet of things for renewable energy systems
2 Power control of modified type III DFIG-based wind turbine system using four-mode type I fuzzy logic controller
3 An IoT-based approach for efficient home automation
4 Design and implementation of IoT-enabled smart single-phase energy meter monitoring system
5 Internet of things (IoT)-based smart grids
6 Maximum power point tracking control under partial shading conditions using particle swarm optimization algorithm
7 Wireless monitoring of substation using IoT
8 Smart grid–based big data analytics using machine learning and artificial intelligence: a survey
9 IoT-based intelligent solar energyharvesting technique with improved efficiency
Editor’s Brief Biographies
Index

πŸ“œ SIMILAR VOLUMES

Artificial Intelligence and Internet of
πŸ“ Artificial Intelligence and Internet of Things for Renewable Energy Systems
✍ Neeraj Priyadarshi (editor); Sanjeevikumar Padmanaban (editor); Kamal Kant Hiran πŸ“‚ Library πŸ“… 2021 πŸ› De Gruyter 🌐 English

<p>This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning mod

Renewable Energy for Smart and Sustainab
πŸ“ Renewable Energy for Smart and Sustainable Cities: Artificial Intelligence in Renewable Energetic Systems
✍ Mustapha Hatti πŸ“‚ Library πŸ“… 2019 πŸ› Springer International Publishing 🌐 English

<p><p>This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-KolΓ©a in Tipaza, Algeria. </p><p>Today, the fundamental challenge

Artificial Intelligence for Renewable En
πŸ“ Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)
✍ S. Balamurugan (editor), Ajay Kumar Vyas (editor), Kamal Kant Hiran (editor), Ha πŸ“‚ Library πŸ“… 2022 πŸ› Wiley-Scrivener 🌐 English

<span>ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS</span><p><span>Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning

Artificial Intelligence for Renewable En
πŸ“ Artificial Intelligence for Renewable Energy Systems (Artificial Intelligence and Soft Computing for Industrial Transformation)
✍ S. Balamurugan (editor), Ajay Kumar Vyas (editor), Kamal Kant Hiran (editor), Ha πŸ“‚ Library πŸ“… 2022 πŸ› Wiley-Scrivener 🌐 English

<span>ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS</span><p><span>Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning

Advances in Artificial Intelligence for
πŸ“ Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy
✍ Mukhdeep Singh Manshahia, Valeriy Kharchenko, Gerhard-Wilhelm Weber, Pandian Vas πŸ“‚ Library πŸ“… 2023 πŸ› Springer-EAI 🌐 English

<span>This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable

Artificial Intelligence for Internet of
πŸ“ Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability
✍ Alireza Souri, Salaheddine Bendak πŸ“‚ Library πŸ“… 2024 πŸ› Springer 🌐 English

IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on ma