Green Machine Learning And Big Data For Smart Grids
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Green Machine Learning And Big Data For Smart Grids
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Author : V. Indragandhi
language : en
Publisher: Elsevier
Release Date : 2024-11-15
Green Machine Learning And Big Data For Smart Grids written by V. Indragandhi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Technology & Engineering categories.
Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green" machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation. - Packages core concepts of green machine learning and smart grids in a clear, understandable way - Includes real-world, practical applications and case studies for replication and innovative solution development - Introduces readers with a range of expertise to best practices and the latest technological advances
Big Data Analytics Framework For Smart Grids
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Author : Rajkumar Viral
language : en
Publisher: CRC Press
Release Date : 2023-12-22
Big Data Analytics Framework For Smart Grids written by Rajkumar Viral and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing. Presents a detailed state-of-the-art analysis of big data analytics and its uses in power grids Describes how the big data analytics framework has been used to display energy in two scenarios including a single house and a smart grid with thousands of smart meters Explores the role of the internet of things, artificial intelligence, and machine learning in smart grids Discusses edge analytics for integration of generation technologies, and decision-making approaches in detail Examines research limitations and presents recommendations for further research to incorporate big data analytics into power system design and operational frameworks The text presents a comprehensive study and assessment of the state-of-the-art research and development related to the unique needs of electrical utility grids, including operational technology, storage, processing, and communication systems. It further discusses important topics such as complex adaptive power system, self-healing power system, smart transmission, and distribution networks, and smart metering infrastructure. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.
Reliable Non Parametric Techniques For Energy System Operation And Control
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Author : Hongcai Zhang
language : en
Publisher: Elsevier
Release Date : 2025-07-01
Reliable Non Parametric Techniques For Energy System Operation And Control written by Hongcai Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Technology & Engineering categories.
Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions. - Bridges the gap between theory and practice, providing essential insights for graduate students, researchers, and engineers - Includes visual elements, data and code, and case studies for easy understanding and implementation - Provides the latest release in the Advances in Intelligent Energy Systems series, bringing together the latest innovations in smart, sustainable energy
Ai Methods For Environmental Protection And Resource Conservation
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Author : Ben Ltaifa, Monia
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Ai Methods For Environmental Protection And Resource Conservation written by Ben Ltaifa, Monia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Technology & Engineering categories.
AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world’s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists.
Handbook Of Sustainable Development Through Green Engineering And Technology
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Author : Vikram Bali
language : en
Publisher: CRC Press
Release Date : 2022-09-27
Handbook Of Sustainable Development Through Green Engineering And Technology written by Vikram Bali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-27 with Mathematics categories.
Green engineering involves the designing, innovation, and commercialization of products and processes which promote sustainability without eliminating both efficiency and economic viability. This handbook focuses on sustainable development through green engineering and technology. It is intended to address the applications and issues involved in their practical implementation. A new range of renewable-energy technologies, modified to provide green engineering, will be described in this handbook. It will explore all green technologies required to provide green engineering for the future.These include, but are not limited to, green smart buildings, fuel-efficient transportation, paperless offices, and many more energy-efficient measures. Handbook of Sustainable Development through Green Engineering and Technology acts as a comprehensive reference book to use when identifying development for programs and sustainable initiatives within the current legislative framework. It aims to be of great interest to researchers, faculty members, and students across the globe.
Machine Learning And Big Data
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Author : Uma N. Dulhare
language : en
Publisher: John Wiley & Sons
Release Date : 2020-09-01
Machine Learning And Big Data written by Uma N. Dulhare and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.
This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Sustainable Futures And Green New Deals
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Author : Zaheer Allam
language : en
Publisher: Springer Nature
Release Date : 2024-07-08
Sustainable Futures And Green New Deals written by Zaheer Allam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-08 with Science categories.
This academic book critically examines the concept of sustainable futures and its interdependence with the policy framework of Green New Deals. We emphasize the inherent link between the two concepts by highlighting how Green New Deals can pave the way for a sustainable and just future in key areas such as environmental policy, economic development, and social equity. Taking a multidisciplinary approach, the book draws on insights from fields such as environmental studies, sustainable development, political ecology, and climate policy to explore the intricacies of these interconnections. The revised description underscores the importance of understanding the Green New Deal's historical and political contexts, as well as its implications for sustainable futures. The book delves into the theoretical perspectives that shape our comprehension of sustainable futures, the diverse strategies employed by countries and regions in implementing Green New Deals, the role of technological innovation and social movements in fostering sustainable transitions, and the political dynamics surrounding the Green New Deal. Through an analysis of the Green New Deal's role in sustainable development, climate policy, and environmental justice, the book provides a necessary and timely contribution to ongoing debates. The chapters offer detailed explorations of the interrelationships between these key areas, emphasizing how the Green New Deal can serve as a transformative policy framework for achieving sustainable and equitable futures. "Sustainable Futures and Green New Deals" is intended for scholars, policymakers, activists, and students interested in understanding the complex and interconnected issues surrounding sustainable development, climate policy, and environmental justice.
Ai And Green Technology Applications In Society
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2024-11-29
Ai And Green Technology Applications In Society written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
Artificial intelligence (AI) and green technology are increasingly intertwined, playing a critical role in driving sustainable solutions across various sectors of society. AI-powered systems optimize energy consumption by predicting demand and enhancing the efficiency of renewable energy sources like solar and wind power. In agriculture, AI enables precision farming, reducing waste, and conserving resources by analyzing soil conditions, weather patterns, and crop health. Additionally, AI contributes to the development of smart cities, where it helps reduce carbon emissions through traffic optimization, energy-efficient buildings, and sustainable waste management. Combined with green technologies, AI accelerates innovation, fostering a more sustainable and eco-conscious society. AI and Green Technology Applications in Society explores the intersection of AI and sustainable technologies, detailing how AI is driving innovation in environmental conservation and energy efficiency. It further delves into ethical implications, challenges, and the future potential of integrating AI with green technologies to promote a sustainable and eco-friendly future. Covering topics such as climate change, precision agriculture, and smart cities, this book is an excellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more.
Data Analytics For Smart Grids Applications A Key To Smart City Development
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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-11-29
Data Analytics For Smart Grids Applications A Key To Smart City Development written by Devendra Kumar Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Computers categories.
This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
Energy Efficient Algorithms And Green Data Centers For Sustainable Computing
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Author : Beslin Pajila, P.J.
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Energy Efficient Algorithms And Green Data Centers For Sustainable Computing written by Beslin Pajila, P.J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs.