Machine Learning, Advances in Computing, Renewable Energy and Communication

Machine Learning, Advances in Computing, Renewable Energy and Communication PDF Author: Anuradha Tomar
Publisher: Springer Nature
ISBN: 9811623546
Category : Technology & Engineering
Languages : en
Pages : 651

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Book Description
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

Machine Learning, Advances in Computing, Renewable Energy and Communication

Machine Learning, Advances in Computing, Renewable Energy and Communication PDF Author: Anuradha Tomar
Publisher: Springer Nature
ISBN: 9811623546
Category : Technology & Engineering
Languages : en
Pages : 651

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Book Description
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication PDF Author: Anuradha Tomar
Publisher: Springer Nature
ISBN: 9811928282
Category : Technology & Engineering
Languages : en
Pages : 774

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Book Description
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.

Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication PDF Author: Anuradha Tomar
Publisher: Springer Nature
ISBN: 9819752272
Category :
Languages : en
Pages : 385

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Book Description


Machine Learning and Computer Vision for Renewable Energy

Machine Learning and Computer Vision for Renewable Energy PDF Author: Acharjya, Pinaki Pratim
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 351

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Book Description
As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.

Renewable Power for Sustainable Growth

Renewable Power for Sustainable Growth PDF Author: Hasmat Malik
Publisher: Springer Nature
ISBN: 981996749X
Category : Technology & Engineering
Languages : en
Pages : 1012

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Book Description
The proceedings is a collection of papers presented at International Conference on Renewal Power (ICRP 2023), held during 28 – 29 March 2023 in Mewat Engineering College, Nuh, India. The book covers different topics of renewal energy sources in modern power systems. The volume focusses on smart grid technologies and applications, renewable power systems including solar PV, solar thermal, wind, power generation, transmission and distribution, transportation electrification and automotive technologies, power electronics and applications in renewable power system, energy management and control system, energy storage in modern power system, active distribution network, artificial intelligence in renewable power systems, and cyber physical systems and internet of things in smart grid and renewable power.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Applications of Big Data and Artificial Intelligence in Smart Energy Systems PDF Author: Neelu Nagpal
Publisher: CRC Press
ISBN: 1000963829
Category : Science
Languages : en
Pages : 318

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Book Description
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.

Computer Science Engineering and Emerging Technologies

Computer Science Engineering and Emerging Technologies PDF Author: Rajeev Sobti
Publisher: CRC Press
ISBN: 1040005462
Category : Computers
Languages : en
Pages : 744

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Book Description
The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences.

Holistic Approach to Quantum Cryptography in Cyber Security

Holistic Approach to Quantum Cryptography in Cyber Security PDF Author: Shashi Bhushan
Publisher: CRC Press
ISBN: 100061445X
Category : Computers
Languages : en
Pages : 257

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Book Description
This new book discusses the concepts while also highlighting the challenges in the field of quantum cryptography and also covering cryptographic techniques and cyber security techniques, in a single volume. It comprehensively covers important topics in the field of quantum cryptography with applications, including quantum key distribution, position-based quantum cryptography, quantum teleportation, quantum e-commerce, quantum cloning, cyber security techniques’ architectures and design, cyber security techniques management, software-defined networks, and cyber security techniques for 5G communication. The text also discusses the security of practical quantum key distribution systems, applications and algorithms developed for quantum cryptography, as well as cyber security through quantum computing and quantum cryptography. The text will be beneficial for graduate students, academic researchers, and professionals working in the fields of electrical engineering, electronics and communications engineering, computer science, and information technology.

International Conference on Signal, Machines, Automation, and Algorithm

International Conference on Signal, Machines, Automation, and Algorithm PDF Author: Hasmat Malik
Publisher: Springer Nature
ISBN: 9819763495
Category :
Languages : en
Pages : 859

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Book Description


Integration of Mechanical and Manufacturing Engineering with IoT

Integration of Mechanical and Manufacturing Engineering with IoT PDF Author: R. Rajasekar
Publisher: John Wiley & Sons
ISBN: 1119865379
Category : Technology & Engineering
Languages : en
Pages : 356

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Book Description
INTEGRATION OF MECHANICAL AND MANUFACTURING ENGINEERING WITH IOT The book provides researchers, professionals, and students with a resource on the basic principles of IoT and its applications, as well as a guide to practicing engineers who want to understand how the Internet of Things can be implemented for different fields of mechanical and manufacturing engineering. This book broadly explores the latest developments of IoT and its integration into mechanical and manufacturing engineering. It details the fundamental concepts and recent developments in IoT & Industry 4.0 with special emphasis on the mechanical engineering platform for such issues as product development and manufacturing, environmental monitoring, automotive applications, energy management, and renewable energy sectors. Topics and related concepts are portrayed comprehensively so that readers can develop expertise and knowledge in the field of IoT. It is packed with reference tables and schematic diagrams for the most commonly used processes and techniques, thereby providing a resource on the basic principles and application of IoT in manufacturing sectors. Audience The book will be read by academic researchers, industry engineers, and R&D personnel in materials, information and technology, artificial intelligence, and manufacturing. The book will greatly assist graduate students.