Ai And Iot In Renewable Energy

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Applications of AI and IOT in Renewable Energy

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

Author : Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Publisher : Academic Press
Page : 248 pages
File Size : 42,9 Mb
Release : 2022-02-09
Category : Science
ISBN : 9780323984010

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Applications of AI and IOT in Renewable Energy by Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas Pdf

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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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

AI and IOT in Renewable Energy

Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh

Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publisher : Springer Nature
Page : 109 pages
File Size : 53,6 Mb
Release : 2021-05-12
Category : Technology & Engineering
ISBN : 9789811610110

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AI and IOT in Renewable Energy by Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh Pdf

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

AI-Powered IoT in the Energy Industry

S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj

Author : S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj
Publisher : Springer Nature
Page : 318 pages
File Size : 54,9 Mb
Release : 2023-04-05
Category : Technology & Engineering
ISBN : 9783031150449

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AI-Powered IoT in the Energy Industry by S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj Pdf

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

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

Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Publisher : Walter de Gruyter GmbH & Co KG
Page : 318 pages
File Size : 55,7 Mb
Release : 2021-11-22
Category : Computers
ISBN : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal Pdf

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.

IoT and Analytics in Renewable Energy Systems (Volume 1)

O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban

Author : O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 471 pages
File Size : 50,8 Mb
Release : 2023-08-11
Category : Computers
ISBN : 9781000909791

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IoT and Analytics in Renewable Energy Systems (Volume 1) by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

IoT and Analytics in Renewable Energy Systems (Volume 2)

O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban

Author : O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 481 pages
File Size : 53,8 Mb
Release : 2023-08-11
Category : Computers
ISBN : 9781000911060

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IoT and Analytics in Renewable Energy Systems (Volume 2) by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

IOT and Analytics in Renewable Energy Systems

O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar

Author : O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar
Publisher : Unknown
Page : 0 pages
File Size : 49,8 Mb
Release : 2023
Category : Electric power systems
ISBN : 1003374123

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IOT and Analytics in Renewable Energy Systems by O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar Pdf

Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Fivesalient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems

C. Sharmeela,P. Sanjeevikumar,P. Sivaraman,Meera Joseph

Author : C. Sharmeela,P. Sanjeevikumar,P. Sivaraman,Meera Joseph
Publisher : CRC Press
Page : 305 pages
File Size : 40,5 Mb
Release : 2023-01-27
Category : Computers
ISBN : 9781000824407

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IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems by C. Sharmeela,P. Sanjeevikumar,P. Sivaraman,Meera Joseph Pdf

This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.

Artificial Intelligence of Things for Smart Green Energy Management

Sarah El Himer,Mariyam Ouaissa,Abdulrahman A. A. Emhemed,Mariya Ouaissa,Zakaria Boulouard

Author : Sarah El Himer,Mariyam Ouaissa,Abdulrahman A. A. Emhemed,Mariya Ouaissa,Zakaria Boulouard
Publisher : Springer Nature
Page : 240 pages
File Size : 54,5 Mb
Release : 2022-06-23
Category : Technology & Engineering
ISBN : 9783031048517

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Artificial Intelligence of Things for Smart Green Energy Management by Sarah El Himer,Mariyam Ouaissa,Abdulrahman A. A. Emhemed,Mariya Ouaissa,Zakaria Boulouard Pdf

This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.

Introduction to AI Techniques for Renewable Energy System

Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban

Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 423 pages
File Size : 48,9 Mb
Release : 2021-11-25
Category : Technology & Engineering
ISBN : 9781000392456

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Introduction to AI Techniques for Renewable Energy System by Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban Pdf

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi

Author : Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi
Publisher : CRC Press
Page : 160 pages
File Size : 48,5 Mb
Release : 2023-09-01
Category : Computers
ISBN : 9781000934007

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Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi Pdf

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

Artificial Intelligence for Renewable Energy Systems

Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman

Author : Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 52,9 Mb
Release : 2022-03-02
Category : Computers
ISBN : 9781119761693

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Artificial Intelligence for Renewable Energy Systems by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman Pdf

ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS 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 and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 55,9 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Artificial Intelligence in Energy and Renewable Energy Systems

Soteris Kalogirou

Author : Soteris Kalogirou
Publisher : Nova Publishers
Page : 488 pages
File Size : 46,5 Mb
Release : 2007
Category : Artificial intelligence
ISBN : 1600212611

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Artificial Intelligence in Energy and Renewable Energy Systems by Soteris Kalogirou Pdf

This book presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. It covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities dealing with modelling and performance prediction of energy and renewable energy systems.

IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems

O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar

Author : O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar
Publisher : Unknown
Page : 0 pages
File Size : 53,8 Mb
Release : 2023
Category : Electric power systems
ISBN : 1003331114

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IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems by O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar Pdf

"Smart Grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power system. Smart grid also promotes energy saving in power system. Cyber security objectives for the Smart Grid focusses on Availability, integrity, and confidentiality. 5 Salient Features: 1. AI and IoT in improving resilience of Smart Energy infrastructure 2. IoT, Smart Grids & Renewable Energy: An Economic Approach 3. AI and ML towards Sustainable solar energy 4. Electrical Vehicles & Smart Grid 5. Intelligent Condition Monitoring for Solar and Wind Energy Systems"--

Ai And Iot In Renewable Energy

Applications of AI and IOT in Renewable Energy by Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas Pdf

AI and IOT in Renewable Energy by Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh Pdf

AI-Powered IoT in the Energy Industry by S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj Pdf

Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal Pdf

IoT and Analytics in Renewable Energy Systems (Volume 1) by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

IoT and Analytics in Renewable Energy Systems (Volume 2) by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

IOT and Analytics in Renewable Energy Systems by O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar Pdf

IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems by C. Sharmeela,P. Sanjeevikumar,P. Sivaraman,Meera Joseph Pdf

Artificial Intelligence of Things for Smart Green Energy Management by Sarah El Himer,Mariyam Ouaissa,Abdulrahman A. A. Emhemed,Mariya Ouaissa,Zakaria Boulouard Pdf

Introduction to AI Techniques for Renewable Energy System by Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban Pdf

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi Pdf

Artificial Intelligence for Renewable Energy Systems by Ajay Kumar Vyas,S. Balamurugan,Kamal Kant Hiran,Harsh S. Dhiman Pdf

Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

Artificial Intelligence in Energy and Renewable Energy Systems by Soteris Kalogirou Pdf

IoT and Analytics in Renewable Energy Systems: Sustainable smart grids & renewable energy systems by O. V. Gnana Swathika,K. Karthikeyan,Padmanaban Sanjeevikumar Pdf

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