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Author: Julie Kerr Casper
Publisher: Infobase Publishing
Published: 2007
Total Pages: 225
ISBN-13: 1438105568
DOWNLOAD EBOOKFocuses on Earth energy resources, such as renewable power from water, ocean energy, solar energy, wind energy, and biofuels, as well as non-renewable sources.
Author: Maude Josée Blondin
Publisher: Springer Nature
Published: 2022-05-28
Total Pages: 434
ISBN-13: 3030844749
DOWNLOAD EBOOKThis volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.
Author: United States. Congress. House. Committee on Government Reform
Publisher:
Published: 2003
Total Pages: 68
ISBN-13:
DOWNLOAD EBOOKAuthor: Kaile Zhou
Publisher: Springer Nature
Published: 2022-02-04
Total Pages: 317
ISBN-13: 9811693609
DOWNLOAD EBOOKThis book provides a relatively whole view of data-driven decision-making methods for energy service innovation and energy system optimization. Through personalized energy services provision and energy efficiency improvement, the book can contribute to the green transformation of energy system and the sustainable development of the society. The book gives a new way to achieve smart energy management, based on various data mining and machine learning methods, including fuzzy clustering, shape-based clustering, ensemble clustering, deep learning, and reinforcement learning. The applications of these data-driven methods in improving energy efficiency and supporting energy service innovation are presented. Moreover, this book also investigates the role of blockchain in supporting peer-to-peer (P2P) electricity trading innovation, thus supporting smart energy management. The general scope of this book mainly includes load clustering, load forecasting, price-based demand response, incentive-based demand response, and energy blockchain-based electricity trading. The intended readership of the book includes researchers and engineers in related areas, graduate and undergraduate students in university, and some other general interested audience. The important features of the book are: (1) it introduces various data-driven methods for achieving different smart energy management tasks; (2) it investigates the role of data-driven methods in supporting various energy service innovation; and (3) it explores energy blockchain in P2P electricity trading, and thus supporting smart energy management.
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Publisher:
Published: 2008
Total Pages: 1840
ISBN-13:
DOWNLOAD EBOOKAuthor: Seog-Chan Oh
Publisher: Springer
Published: 2016-04-15
Total Pages: 302
ISBN-13: 3319327291
DOWNLOAD EBOOKThis book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.
Author: Krithi Ramamritham
Publisher: World Scientific
Published: 2021-12-28
Total Pages: 312
ISBN-13: 9811252300
DOWNLOAD EBOOKThe focus of this book is smart energy management with the recurring theme being the use of computational and data-driven methods that use requirements/measurement/monitoring data to drive actuation/control, optimization, and resource management. The computational perspective is applied to manage energy, with an emphasis on smart buildings and the smart electric grids.The book also presents computational thinking and techniques such as inferencing and learning for energy management. To this end, this book is designed to help understand the recent research trends in energy management, focusing specifically on the efforts to increase energy efficiency of buildings, campuses, and cities.
Author: Khmaies Ouahada
Publisher: MDPI
Published: 2020-03-16
Total Pages: 350
ISBN-13: 3039281429
DOWNLOAD EBOOKThis book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.
Author: Mark Miller
Publisher: BenBella Books
Published: 2022-01-11
Total Pages: 272
ISBN-13: 1637740093
DOWNLOAD EBOOKEscape the mediocrity that ensnares so many in business and become a better, more effective leader. Have you ever wondered what it would take to be a better leader, or achieve your wildest dreams, or make a bigger difference in the world? The answer lies in the choices you make: about everything from how you spend your time to the way you view the world. Smart Leadership is the latest essential business title from internationally bestselling author of Win the Heart and Chess Not Checkers Mark Miller. In this book, he shares the four research-based “smart choices” the best leaders make to scale their influence and results. By teaching you how to Confront Reality, Grow Capacity, Fuel Curiosity, and Create Change, Miller will help you: Bring fresh eyes and fresh thinking to your leadership approach. Increase your confidence in your ability to make a difference. Lead at levels you never thought possible. Accelerate your learning curve so that all these benefits come faster and more naturally. With this guide, your leadership—and your life—will be transformed forever.
Author: Amina Adadi
Publisher: Springer Nature
Published: 2023-08-24
Total Pages: 243
ISBN-13: 3031374541
DOWNLOAD EBOOKThis book provides insights into recent advances in Machine Intelligence (MI) and related technologies, identifies risks and challenges that are, or could be, slowing down overall MI mainstream adoption and innovation efforts, and discusses potential solutions to address these limitations. All these aspects are explored through the lens of smart applications. The book navigates the landscape of the most recent, prominent, and impactful MI smart applications. The broad set of smart applications for MI is organized into four themes covering all areas of the economy and social life, namely (i) Smart Environment, (ii) Smart Social Living, (iii) Smart Business and Manufacturing, and (iv) Smart Government. The book examines not only present smart applications but also takes a look at how MI may potentially be applied in the future. This book is aimed at researchers and postgraduate students in applied artificial intelligence and allied technologies. The book is also valuable for practitioners, and it serves as a bridge between researchers and practitioners. It also helps connect researchers interested in MI technologies who come from different social and business disciplines and who can benefit from sharing ideas and results.
