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Artificial Intelligence of Things for Smart Green Energy Management, El Himer


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Цена: 25155.00р.
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Автор: El Himer
Название:  Artificial Intelligence of Things for Smart Green Energy Management
ISBN: 9783031048500
Издательство: Springer
Классификация:


ISBN-10: 3031048504
Обложка/Формат: Hardback
Страницы: 234
Вес: 0.54 кг.
Дата издания: 08.07.2022
Серия: Studies in Systems, Decision and Control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 130 illustrations, color; 20 illustrations, black and white; xiii, 234 p. 150 illus., 130 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.
Дополнительное описание: Artificial Intelligence of Things (AIoT) for Renewable Energies Systems.- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity.- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator



Paradigms of Artificial Intelligence Programming,

Автор: Peter Norvig
Название: Paradigms of Artificial Intelligence Programming,
ISBN: 1558601910 ISBN-13(EAN): 9781558601918
Издательство: Elsevier Science
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Цена: 9599.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.

Artificial Intelligence For Renewable Energy Systems

Автор: Dubey, Ashutosh Kumar
Название: Artificial Intelligence For Renewable Energy Systems
ISBN: 0323903967 ISBN-13(EAN): 9780323903967
Издательство: Elsevier Science
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Цена: 34529.00 р.
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Описание: Sustain Your Game is built upon a simple premise: each of us will always be under construction, a work in progress, and constantly evolving. The goal is to be moving toward our highest potential, toward making a meaningful contribution, and toward becoming the best version of ourselves.

Artificial Intelligence in Renewable Energetic Systems

Автор: Hatti
Название: Artificial Intelligence in Renewable Energetic Systems
ISBN: 3319731912 ISBN-13(EAN): 9783319731919
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows.

Green and Software-defined Wireless Networks: From Theory to Practice

Автор: Chih-Lin I, Guanding Yu, Shuangfeng Han, Geoffrey
Название: Green and Software-defined Wireless Networks: From Theory to Practice
ISBN: 1108417329 ISBN-13(EAN): 9781108417327
Издательство: Cambridge Academ
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Цена: 14573.00 р.
Наличие на складе: Поставка под заказ.

Описание: An expert treatment of the state-of-the-art in green and soft communications, covering theory, 5G physical layer design, network architecture, energy efficient resource management strategies, and applications of wireless big data and artificial intelligence to wireless network design. Ideal for graduate students, professionals and researchers.

Renewable Energy for Smart and Sustainable Cities

Автор: Mustapha Hatti
Название: Renewable Energy for Smart and Sustainable Cities
ISBN: 3030047881 ISBN-13(EAN): 9783030047887
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book features cutting-edge research presented at the second international conference on Artificial Intelligence in Renewable Energetic Systems, IC-AIRES2018, held on 24–26 November 2018, at the High School of Commerce, ESC-Kol?a in Tipaza, Algeria. Today, the fundamental challenge of integrating renewable energies into the design of smart cities is more relevant than ever. While based on the advent of big data and the use of information and communication technologies, smart cities must now respond to cross-cutting issues involving urban development, energy and environmental constraints; further, these cities must also explore how they can integrate more sustainable energies. Sustainable energies are a major determinant of smart cities’ longevity. From an environmental and technological standpoint, these energies offer an optimal power supply to the electric network while creating significantly less pollution. This requires flexibility, i.e., the availability of supply and demand. The end goal of any smart city is to improve the quality of life for all citizens (both in the city and in the countryside) in a way that is sustainable and respectful of the environment. This book encourages the reader to engage in the preservation of our environment, every moment, every day, so as to help build a clean and healthy future, and to think of the future generations who will one day inherit our planet. Further, it equips those whose work involves energy systems and those engaged in modelling artificial intelligence to combine their expertise for the benefit of the scientific community and humanity as a whole.

Blockchain: Technology and applications for Industry 4.0, Smart Energy, and Smart Cities

Автор: Andrej Kos, Matevz Pustisek, Natasa Zivic
Название: Blockchain: Technology and applications for Industry 4.0, Smart Energy, and Smart Cities
ISBN: 3110681129 ISBN-13(EAN): 9783110681123
Издательство: Walter de Gruyter
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Цена: 7801.00 р.
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Описание:

Blockchains are seen as a technology for the future, which reduce the cost of trust and revolutionize transactions between individuals, companies and governments. The sense of using blockchains is to minimize the probability of errors, successful frauds and paper-intensive processes. For these reasons, blockchains already have and will have a significant impact to the society and every day’s life, especially in field of Machine to Machine (M2M) communications, which are one of the basic technologies for Internet of Things (IoT). Therefore, blockchains with their inherent property to provide security, privacy and decentralized operation are engine for todays and future reliable, autonomous and trusted IoT platforms. Specially, a disruptive role of ledger technologies in future smart personal mobility systems, which combine smart car industry, smart energy/smart cities will be explained in the book, considering its importance for development of new industrial and business models.

Artificial Intelligence and Internet of Things: Applications in Smart Healthcare

Автор: Goyal Lalit Mohan, Saba Tanzila, Rehman Amjad
Название: Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
ISBN: 0367562944 ISBN-13(EAN): 9780367562946
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book reveals the applications of AI & IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services.

Artificial intelligence-based energy management systems for smart micro grids /

Автор: Edited By Baseem Khan, Sanjeevikumar Padmanaban, H
Название: Artificial intelligence-based energy management systems for smart micro grids /
ISBN: 0367754347 ISBN-13(EAN): 9780367754341
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: The text discusses the modeling and optimization of mini and micro grids systems with artificial intelligence and meta-heuristic techniques. It will be an ideal reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Автор: Liu Teng
Название: Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
ISBN: 1681736187 ISBN-13(EAN): 9781681736181
Издательство: Mare Nostrum (Eurospan)
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Цена: 6237.00 р.
Наличие на складе: Нет в наличии.

Описание:

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.

Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.

In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.

Artificial Intelligence Techniques for a Scalable Energy Transition

Автор: Moamar Sayed-Mouchaweh;
Название: Artificial Intelligence Techniques for a Scalable Energy Transition
ISBN: 3030427250 ISBN-13(EAN): 9783030427252
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc.

We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications

Автор: Shogren, Karrie A. (University of Kansas, USA) Raley, Sheida K.
Название: Artificial Intelligence, Internet of Things (IoT) and Smart Materials for Energy Applications
ISBN: 1032115025 ISBN-13(EAN): 9781032115023
Издательство: Taylor&Francis
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Цена: 18374.00 р.
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Описание: This text introduces multifunctional and multi-disciplinary technological aspects, principle, and industry automation in a single volume. It will serve as a useful text for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, and mechanical engineering


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