Green Machine Learning and Big Data for Smart Grids PDF Download

Author: V. Indragandhi
Publisher: Elsevier
ISBN: 0443289522
Category : Technology & Engineering
Languages : en
Pages : 318

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Book Description
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

Author: Kumari Namrata
Publisher: Springer Nature
ISBN: 9811949719
Category : Technology & Engineering
Languages : en
Pages : 869

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Book Description
This book comprises peer-reviewed proceedings of the International Conference on Smart Energy and Advancement in Power Technologies (ICSEAPT-2021). The book includes peer-reviewed papers on renewable energy economics and policy, renewable energy resource assessment, operations management and sustainability, energy audit, global warming, waste and resource management, green energy deployment, green buildings, integration of green energy, energy efficiency, etc. The book serves as a valuable reference resource for academics and researchers across the globe.

Author: Jitendra Kumar
Publisher: Springer Nature
ISBN: 9811901937
Category : Technology & Engineering
Languages : en
Pages : 644

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Book Description
The volume contains peer-reviewed proceedings of EPREC 2021 with a focus on control applications in the modern power system. The book includes original research and case studies that present recent developments in the control system, especially load frequency control, wide-area monitoring, control & instrumentation, optimization, intelligent control, energy management system, SCADA systems, etc. The book will be a valuable reference guide for beginners, researchers, and professionals interested in advancements in the control system.

Author: Jinghan He
Publisher: Springer Nature
ISBN: 9811915326
Category : Technology & Engineering
Languages : en
Pages : 1382

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Book Description
This book gathers outstanding papers presented at the 16th Annual Conference of China Electrotechnical Society, organized by China Electrotechnical Society (CES), held in Beijing, China, from September 24 to 26, 2021. It covers topics such as electrical technology, power systems, electromagnetic emission technology, and electrical equipment. It introduces the innovative solutions that combine ideas from multiple disciplines. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.

Author: Neeraj Priyadarshi
Publisher: John Wiley & Sons
ISBN: 1119786274
Category : Computers
Languages : en
Pages : 484

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Book Description
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.

Author: Simon Fong
Publisher: Springer Nature
ISBN: 981165655X
Category : Technology & Engineering
Languages : en
Pages : 944

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Book Description
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 6th International Conference on ICT for Sustainable Development (ICT4SD 2021), held in Goa, India, on 5–6 August 2021. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

Author: Gonçalo Marques
Publisher: Springer Nature
ISBN: 3030975169
Category : Computers
Languages : en
Pages : 254

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Book Description
This book introduces machine learning and its applications in smart environments/cities. At this stage, a comprehensive understanding of smart environment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advances are discussed, and thorough reviews introduce readers to critical domains. The discussion on key research topics presented in this book accelerates smart city and smart environment implementations based on IoT technologies. Consequently, this book supports future research activities aimed at developing future IoT architectures for smart environments/cities.

Author: P. Sanjeevikumar
Publisher: Academic Press
ISBN: 0323904505
Category : Technology & Engineering
Languages : en
Pages : 354

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Book Description
Residential Microgrids and Rural Electrifications contains an overview of microgrids' architecture, load assessments, designing of microgrids for residential systems, and rural electrifications to help readers understand the fundamentals. Including many new topics in the field of home automation and the application of IoT for microgrids monitoring and control, the book includes sections on the infrastructure necessary for charging Electric Vehicles in residential systems and rural electrifications and how to estimate the energy and cost of various combinations of energy resources. Many examples and practical case studies are included to enhance and reinforce learning objective goals. Those in engineering research and technical professions will be able to perform energy and cost analyses of various combinations of energy sources by using advanced, real simulation tools. - Features methods for adopting and applying artificial intelligent techniques in microgrids for improving reliability - Addresses the role of battery energy storage systems, the reliable operation of microgrids, international standards such as IEC and IEEE standards, and safe handling techniques - Covers IoT for the monitoring and control of microgrids and the adoption of recent technologies

Author: Vahid Vahidinasab
Publisher: Springer Nature
ISBN: 3031221869
Category : Technology & Engineering
Languages : en
Pages : 246

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Book Description
Energy Systems Transition: Digitalization, Decarbonization, Decentralization, and Democratization provides a thorough multidisciplinary overview of the operation of modern green energy systems and examines the role of 4D energy transition in global decarbonization mitigation efforts for meeting long-term climate goals. Contributions present practical aspects and approaches with evidence from applications to real-world energy systems, offering in-depth technical discussions, case studies, and examples to help readers understand the methods, current challenges, and future directions. A hands-on reference to energy distribution systems, it is suitable for researchers and industry practitioners from different branches of engineering, energy, data science, economics, and operation research.

Author: Antonio Moreno-Munoz
Publisher: John Wiley & Sons
ISBN: 1119899427
Category : Science
Languages : en
Pages : 372

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Book Description
Energy Smart Appliances Enables designers and manufacturers to manage real-world energy performance and expectations by covering a range of potential scenarios and challenges Energy Smart Appliances provides utilities and appliance manufacturers, and designers with new approaches to better understand real-world performance, assess actual energy benefits, and tailor each technology to the needs of their customers. With contributions from a fully international group of experts, including heads of prestigious research organizations and leading universities, and innovation managers of the main appliance manufacturers, Energy Smart Appliances includes discussion on: Enabling technologies for energy smart appliances, covering IoT devices and technology and active energy efficiency measures in residential environments Smart home and appliances, answering questions like ‘Where are we heading in terms of the overall smart homes’ future?’ and ‘What’s the energy impact from smart home devices?’ Demand-side management and demand response, covering overall system/ appliances readiness and ideal energy management scenario to drive demand response Energy smart appliances’ best practices and success stories, including refrigerators, washers, dryers, and more With practical coverage of a wide range of potential scenarios and existing and future challenges, Energy Smart Appliances is an essential learning resource for electrical engineering professionals, equipment manufacturers, and designers, along with postgraduate electrical engineering students and researchers in related fields and programs of study.