Modeling Identification And Control Methods In Renewable Energy Systems eBook
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Modeling Identification And Control Methods In Renewable Energy Systems
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Author : Nabil Derbel
language : en
Publisher: Springer
Release Date : 2018-12-24
Modeling Identification And Control Methods In Renewable Energy Systems written by Nabil Derbel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-24 with Technology & Engineering categories.
Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summarized as concise and quantitative expressions or “models”. “Identification” provides mechanisms to establish the models and “control” provides mechanisms to improve system performances. This book reflects the relevant studies and applications in the area of renewable energies, with the latest research from interdisciplinary theoretical studies, computational algorithm development to exemplary applications. It discusses how modeling and control methods such as recurrent neural network, Pitch Angle Control, Fuzzy control, Sliding Mode Control and others are used in renewable systems. It covers topics as photovoltaic systems, wind turbines, maximum power point tracking, batteries for renewable energies, solar energy, thermal energy and so on. This book is edited and written by leading experts in the field and offers an ideal reference guide for researchers and engineers in the fields of electrical/electronic engineering, control system and energy.
Renewable Energy Systems
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Author : Ahmad Taher Azar
language : en
Publisher: Academic Press
Release Date : 2021-09-09
Renewable Energy Systems written by Ahmad Taher Azar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-09 with Computers categories.
Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems
Modeling And Control Dynamics In Microgrid Systems With Renewable Energy Resources
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Author : Ramesh C. Bansal
language : en
Publisher: Academic Press
Release Date : 2023-11-23
Modeling And Control Dynamics In Microgrid Systems With Renewable Energy Resources written by Ramesh C. Bansal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Technology & Engineering categories.
Modelling and Control Dynamics in Microgrid Systems with Renewable Energy Resources looks at complete microgrid systems integrated with renewable energy resources (RERs) such as solar, wind, biomass or fuel cells that facilitate remote applications and allow access to pollution-free energy. Designed and dedicated to providing a complete package on microgrid systems modelling and control dynamics, this book elaborates several aspects of control systems from classical approach to advanced techniques based on artificial intelligence. It captures the typical modes of operation of microgrid systems with distributed energy storage applications like battery, flywheel, electrical vehicles infrastructures that are integrated within microgrids with desired targets. More importantly, the techno-economics of these microgrid systems are well addressed to accelerate the process of achieving the SDG7 i.e., affordable and clean energy for all (E4ALL). This reference presents the latest developments including step by step modelling processes, data security and standards protocol for commissioning of microgrid projects, making this a useful tool for researchers, engineers and industrialists wanting a comprehensive reference on energy systems models. Includes simulations with case studies and real-world applications of energy system models Detailed systematic modeling with mathematical analysis is covered Features possible operating scenarios with solutions to the encountered issues
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities
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Author : Mustapha Hatti
language : en
Publisher: Springer Nature
Release Date : 2021-11-24
Artificial Intelligence And Heuristics For Smart Energy Efficiency In Smart Cities written by Mustapha Hatti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Technology & Engineering categories.
This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.
Artificial Intelligence Of Things For Smart Green Energy Management
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Author : Sarah El Himer
language : en
Publisher: Springer Nature
Release Date : 2022-06-23
Artificial Intelligence Of Things For Smart Green Energy Management written by Sarah El Himer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-23 with Technology & Engineering categories.
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.
Ai And Iot For Sustainable Development In Emerging Countries
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Author : Zakaria Boulouard
language : en
Publisher: Springer Nature
Release Date : 2022-01-31
Ai And Iot For Sustainable Development In Emerging Countries written by Zakaria Boulouard and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Technology & Engineering categories.
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
Global Sustainability In Energy Building Infrastructure Transportation And Water Technology
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Author : Md. Faruque Hossain
language : en
Publisher: Springer Nature
Release Date : 2021-02-04
Global Sustainability In Energy Building Infrastructure Transportation And Water Technology written by Md. Faruque Hossain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Science categories.
This book focuses on holistic approaches to sustainability in all sectors of building, infrastructure, and energy to achieve a best-balanced global energy, building, infrastructure, transportation, and water technology (EBITW) system using a series of innovative research and implementation solutions. The goal of this book is to define the context for proactive consideration of scientific theories and practical technical applications of sustainable development, following main seven themes: Renewable Energy Technology, Advanced Building Design Technology, Innovative Infrastructure and Transportation Engineering, Clean Water and Sanitation, Sustainable Urban and Rural Development, Clean Environment, and Sustainable Planet; which are very much interconnected to secure the global equilibrium. The book is prepared for a wide audience including researchers, field engineers, and students.