Intelligent Energy Management Technologies

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Release : 2020-12-01
Genre : Technology & Engineering
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Book Rating : 201/5 ( reviews)

Intelligent Energy Management Technologies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Energy Management Technologies write by Mohammad Shorif Uddin. This book was released on 2020-12-01. Intelligent Energy Management Technologies available in PDF, EPUB and Kindle. This book is a collection of best selected high-quality research papers presented at the International Conference on Advances in Energy Management (ICAEM 2019) organized by the Department of Electrical Engineering, Jodhpur Institute of Engineering & Technology (JIET), Jodhpur, India, during 20–21 December 2019. The book discusses intelligent energy management technologies which are cost effective compared to the high cost of fossil fuels. This book also explains why these systems have beneficial impact on environmental, economic and political issues of the world. The book is immensely useful for research scholars, academicians, R&D institutions, practicing engineers and managers from industry.

Smart Energy Management for Smart Grids

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Release : 2020-03-16
Genre : Technology & Engineering
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Book Rating : 429/5 ( reviews)

Smart Energy Management for Smart Grids - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Energy Management for Smart Grids write by Khmaies Ouahada. This book was released on 2020-03-16. Smart Energy Management for Smart Grids available in PDF, EPUB and Kindle. This 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.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

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Release : 2019-09-03
Genre : Technology & Engineering
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Book Rating : 195/5 ( reviews)

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles write by Teng Liu. This book was released on 2019-09-03. Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles available in PDF, EPUB and Kindle. 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.

Grid Integration of Solar Photovoltaic Systems

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Release : 2017-11-22
Genre : Science
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Book Rating : 497/5 ( reviews)

Grid Integration of Solar Photovoltaic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Grid Integration of Solar Photovoltaic Systems write by Majid Jamil. This book was released on 2017-11-22. Grid Integration of Solar Photovoltaic Systems available in PDF, EPUB and Kindle. This book covers the various aspects of solar photovoltaic systems including measurement of solar irradiance, solar photovoltaic modules, arrays with MATLAB implementation, recent MPPT techniques, latest literature of converter design (with MATLAB Simulink models), energy storage for PV applications, balance of systems, grid integration of PV systems, PV system protection, economics of grid connected PV system and system yield performance using PV system. Challenges, issues and solutions related to grid integration of solar photovoltaic systems are also be dealt with.

Intelligent Control and Smart Energy Management

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Release : 2022-05-28
Genre : Science
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Book Rating : 749/5 ( reviews)

Intelligent Control and Smart Energy Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Control and Smart Energy Management write by Maude Josée Blondin. This book was released on 2022-05-28. Intelligent Control and Smart Energy Management available in PDF, EPUB and Kindle. This 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.