Machine Learning Advances In Computing Renewable Energy And Communication

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

Author : Anuradha Tomar
Publisher : Springer Nature
ISBN 13 : 9811928282
Total Pages : 774 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar

Download or read book Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer Nature. This book was released on 2022-09-17 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning, Advances in Computing, Renewable Energy and Communication

Author : Anuradha Tomar
Publisher :
ISBN 13 : 9789811623554
Total Pages : 0 pages
Book Rating : 4.6/5 (235 download)

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Book Synopsis Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar

Download or read book Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

Author : Anuradha Tomar
Publisher : Springer
ISBN 13 : 9789819752263
Total Pages : 0 pages
Book Rating : 4.7/5 (522 download)

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Book Synopsis Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar

Download or read book Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer. This book was released on 2024-10-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28–29 November 2023. 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

Author : Anuradha Tomar
Publisher : Springer Nature
ISBN 13 : 9811623546
Total Pages : 651 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar

Download or read book Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer Nature. This book was released on 2021-08-19 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

Author : Anuradha Tomar
Publisher : Springer
ISBN 13 : 9789819752300
Total Pages : 0 pages
Book Rating : 4.7/5 (523 download)

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Book Synopsis Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar

Download or read book Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer. This book was released on 2024-10-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2023), held in Glocal University, Saharanpur, Uttar Pradesh, India, during 28–29 November 2023. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Author : Krishna Kumar
Publisher : Academic Press
ISBN 13 : 0323914284
Total Pages : 418 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by : Krishna Kumar

Download or read book Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies written by Krishna Kumar and published by Academic Press. This book was released on 2022-03-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy

Author : Mukhdeep Singh Manshahia
Publisher : Springer Nature
ISBN 13 : 3031264967
Total Pages : 302 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by : Mukhdeep Singh Manshahia

Download or read book Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy written by Mukhdeep Singh Manshahia and published by Springer Nature. This book was released on 2023-06-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.

Machine Learning and Computer Vision for Renewable Energy

Author : Acharjya, Pinaki Pratim
Publisher : IGI Global
ISBN 13 :
Total Pages : 351 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Machine Learning and Computer Vision for Renewable Energy by : Acharjya, Pinaki Pratim

Download or read book Machine Learning and Computer Vision for Renewable Energy written by Acharjya, Pinaki Pratim and published by IGI Global. This book was released on 2024-05-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Distributed Computing and Machine Learning

Author : Umakanta Nanda
Publisher : Springer Nature
ISBN 13 : 9819718414
Total Pages : 483 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Advances in Distributed Computing and Machine Learning by : Umakanta Nanda

Download or read book Advances in Distributed Computing and Machine Learning written by Umakanta Nanda and published by Springer Nature. This book was released on with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision and Machine Intelligence for Renewable Energy Systems

Author : Ashutosh Kumar Dubey
Publisher : Elsevier
ISBN 13 : 0443289484
Total Pages : 389 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Computer Vision and Machine Intelligence for Renewable Energy Systems by : Ashutosh Kumar Dubey

Download or read book Computer Vision and Machine Intelligence for Renewable Energy Systems written by Ashutosh Kumar Dubey and published by Elsevier. This book was released on 2024-10-18 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration. This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier’s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications Includes dedicated chapters with case studies and applications for each sustainable energy source

Advanced Deep Learning for Engineers and Scientists

Author : Kolla Bhanu Prakash
Publisher : Springer Nature
ISBN 13 : 3030665194
Total Pages : 294 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advanced Deep Learning for Engineers and Scientists by : Kolla Bhanu Prakash

Download or read book Advanced Deep Learning for Engineers and Scientists written by Kolla Bhanu Prakash and published by Springer Nature. This book was released on 2021-07-24 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.

Intelligent Learning Approaches for Renewable and Sustainable Energy

Author : Josep M. Guerrero
Publisher : Elsevier
ISBN 13 : 044315807X
Total Pages : 315 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Intelligent Learning Approaches for Renewable and Sustainable Energy by : Josep M. Guerrero

Download or read book Intelligent Learning Approaches for Renewable and Sustainable Energy written by Josep M. Guerrero and published by Elsevier. This book was released on 2024-02-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Renewable Power for Sustainable Growth

Author : Hasmat Malik
Publisher : Springer Nature
ISBN 13 : 981996749X
Total Pages : 1012 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Renewable Power for Sustainable Growth by : Hasmat Malik

Download or read book Renewable Power for Sustainable Growth written by Hasmat Malik and published by Springer Nature. This book was released on 2024-01-02 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI Applications for Clean Energy and Sustainability

Author : Riswandi, Budi Agus
Publisher : IGI Global
ISBN 13 :
Total Pages : 485 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI Applications for Clean Energy and Sustainability by : Riswandi, Budi Agus

Download or read book AI Applications for Clean Energy and Sustainability written by Riswandi, Budi Agus and published by IGI Global. This book was released on 2024-08-16 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.

Artificial Intelligence, Blockchain, Computing and Security Volume 1

Author : Arvind Dagur
Publisher : CRC Press
ISBN 13 : 1003845819
Total Pages : 1029 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence, Blockchain, Computing and Security Volume 1 by : Arvind Dagur

Download or read book Artificial Intelligence, Blockchain, Computing and Security Volume 1 written by Arvind Dagur and published by CRC Press. This book was released on 2023-12-01 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.

Advanced Computational Techniques for Renewable Energy Systems

Author : Mustapha Hatti
Publisher : Springer Nature
ISBN 13 : 3031212169
Total Pages : 844 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced Computational Techniques for Renewable Energy Systems by : Mustapha Hatti

Download or read book Advanced Computational Techniques for Renewable Energy Systems written by Mustapha Hatti and published by Springer Nature. This book was released on 2023-02-13 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Social and Ethical Implications of AI in Finance for Sustainability

Author : Derbali, Abdelkader Mohamed Sghaier
Publisher : IGI Global
ISBN 13 :
Total Pages : 389 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Social and Ethical Implications of AI in Finance for Sustainability by : Derbali, Abdelkader Mohamed Sghaier

Download or read book Social and Ethical Implications of AI in Finance for Sustainability written by Derbali, Abdelkader Mohamed Sghaier and published by IGI Global. This book was released on 2024-04-22 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The crucial challenge of integrating sustainability into business and investment decisions is compounded by the complexity of analyzing vast and intricate datasets to make informed choices. Traditional approaches often fail to provide timely and accurate insights into environmental, social, and governance (ESG) factors, hindering progress toward a greener future. Additionally, the rapid evolution of AI and machine learning in finance has left many professionals needing help to grasp their full potential in advancing sustainability goals. With a comprehensive understanding and practical guidance, organizations can stay caught up in adopting sustainable practices and leveraging AI for financial and environmental benefits. Social and Ethical Implications of AI in Finance for Sustainability offers a timely and comprehensive solution to these challenges by thoroughly examining how AI can safely enhance sustainability in finance. The book bridges the gap between theory and practice, offering practical insights and real-world applications to empower academics, practitioners, policymakers, and students. Through a series of expertly curated chapters, readers will gain a deep understanding of the role AI plays in reshaping finance for a sustainable future. The book's instructional elements, including case studies and expert analysis, provide a roadmap for incorporating AI into sustainability strategies, enabling organizations to make informed decisions and drive positive change.