Blockchain And Artificial Intelligence Technologies For Smart Energy Systems
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Blockchain And Artificial Intelligence Technologies For Smart Energy Systems
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Author : Hongjian Sun
language : en
Publisher: CRC Press
Release Date : 2023-10-04
Blockchain And Artificial Intelligence Technologies For Smart Energy Systems written by Hongjian Sun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-04 with Computers categories.
Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artificial intelligence (AI) and Blockchain emerging as two of the most transformative technologies of our time. The convergence of these two technologies has the potential to create a paradigm shift in the energy sector, enabling the development of smart energy systems that are more resilient, efficient, and sustainable. This book situates itself at the forefront of this paradigm shift, providing a timely and comprehensive guide to AI and Blockchain technologies in the energy system. Moving from an introduction to the basic concepts of smart energy systems, this book proceeds to examine the key challenges facing the energy system, and how AI and Blockchain can be used to address these challenges. Research examples are presented to showcase the role and impact of these new technologies, while the latest developed testbeds are summarised and explained to help researchers accelerate their development of these technologies. This book is an indispensable guide to the current changes in the energy system, being of particular use to industry professionals, from researchers to management, looking to stay ahead of technological developments.
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems
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Author : Neelu Nagpal
language : en
Publisher: CRC Press
Release Date : 2023-11-23
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems written by Neelu Nagpal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-23 with Computers categories.
In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.
Artificial Intelligence Based Smart Power Systems
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Author : Sanjeevikumar Padmanaban
language : en
Publisher: John Wiley & Sons
Release Date : 2023-02-01
Artificial Intelligence Based Smart Power Systems written by Sanjeevikumar Padmanaban and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Science categories.
ARTIFICIAL INTELLIGENCE-BASED SMART POWER SYSTEMS Authoritative resource describing artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution. It covers many new topics such as distribution phasor measurement units, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the editors include many learning resources throughout the text, including MATLAB, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HVDC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
Smart Innovations In Energy And Mechanical Systems
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Author : Dmytro Pavlenko
language : en
Publisher: Springer Nature
Release Date : 2025-07-15
Smart Innovations In Energy And Mechanical Systems written by Dmytro Pavlenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Technology & Engineering categories.
This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions. Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing. The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions. Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments. Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems. This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system.
Advances In Digitalization And Machine Learning For Integrated Building Transportation Energy Systems
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Author : Yuekuan Zhou
language : en
Publisher: Elsevier
Release Date : 2023-11-21
Advances In Digitalization And Machine Learning For Integrated Building Transportation Energy Systems written by Yuekuan Zhou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.
Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems examines the combined impact of buildings and transportation systems on energy demand and use. With a strong focus on AI and machine learning approaches, the book comprehensively discusses each part of the energy life cycle, considering source, grid, demand, storage, and usage. Opening with an introduction to smart buildings and intelligent transportation systems, the book presents the fundamentals of AI and its application in renewable energy sources, alongside the latest technological advances. Other topics presented include building occupants' behavior and vehicle driving schedule with demand prediction and analysis, hybrid energy storages in buildings with AI, smart grid with energy digitalization, and prosumer-based P2P energy trading. The book concludes with discussions on blockchain technologies, IoT in smart grid operation, and the application of big data and cloud computing in integrated smart building-transportation energy systems. A smart and flexible energy system is essential for reaching Net Zero whilst keeping energy bills affordable. This title provides critical information to students, researchers and engineers wanting to understand, design, and implement flexible energy systems to meet the rising demand in electricity. - Introduces spatiotemporal energy sharing with new energy vehicles and human-machine interactions - Discusses the potential for electrification and hydrogenation in integrated building-transportation systems for sustainable development - Highlights key topics related to traditional energy consumers, including peer-to-peer energy trading and cost-benefit business models
Handbook Of Smart Energy Systems
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Author : Michel Fathi
language : en
Publisher: Springer Nature
Release Date : 2023-08-04
Handbook Of Smart Energy Systems written by Michel Fathi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.
International Conference On Smart Environment And Green Technologies Icsegt2024
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Author : Fahreddin Sadikoglu Mammadov
language : en
Publisher: Springer Nature
Release Date : 2025-01-04
International Conference On Smart Environment And Green Technologies Icsegt2024 written by Fahreddin Sadikoglu Mammadov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-04 with Computers categories.
This book compiles state-of-the-art studies and real-world applications in ecosystems and smart environments. It covers important subjects like creating a sustainable economy, green and renewable energy, and IoT-powered industrial and agricultural systems. Along with providing insights into theory, modelling, and the deployment of smart cities and infrastructure, the book also examines the use of AI in the earth and environmental sciences and economy. The book is intended to be a priceless tool for scholars, professionals, and recent graduates. It acts as a manual and source of inspiration for promoting environmentally friendly technologies and sustainable solutions. It opens the door for creating intelligent systems that maximise resource use, reduce carbon footprints, and enhance general quality of life by incorporating the most recent technological developments.
Smart Prosumers Within Smart Grids
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Author : Ahmad Rezaee Jordehi
language : en
Publisher: Elsevier
Release Date : 2024-11-30
Smart Prosumers Within Smart Grids written by Ahmad Rezaee Jordehi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-30 with Business & Economics categories.
Smart Prosumers within Smart Grids: Fundamentals, Methodologies, and Potential for Advancing the Energy Transition provides a primer on the technologies and opportunities of prosumer integration into smart grids. The book begins with a clear introduction to the essential concepts of both smart grids and prosumers, as well as their critical role in renewable energy integration. It then moves through a 360-degree analysis of opportunities for leveraging smart prosumer technology in the smart grid, from the micro (smart homes) to macro (smart distribution networks and interconnected smart power-gas grids).Methodologies to maximize the integration of renewable sources, including critical hydrogen technologies are considered, as well as the potential for smart prosumers to manager reliability challenges of renewable energy and constant change from the energy transition. Implications are considered across sectors, including regulatory, legal, economic, business, and transport infrastructure, and prosumer interactions with other actors such as DSOs, TSOs, retailers, and BPRs are analyzed. - Examines the essential differences between prosumers and the traditional energy consumer/producer dichotomy - Offers technical solutions to the integration of prosumers for improved reliability of renewable energy - Closely analyzes the costs and benefits of approaches and provides access to GAMS code for modeling and simulation
Emerging Technologies For Sustainable And Smart Energy
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Author : Anirbid Sircar
language : en
Publisher: CRC Press
Release Date : 2022-08-03
Emerging Technologies For Sustainable And Smart Energy written by Anirbid Sircar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-03 with Technology & Engineering categories.
Considering the alarming issue of global climate change and its drastic consequences, there is an urgent need to further develop smart and innovative solutions for the energy sector. The goal of sustainable and smart energy for present and future generations can be achieved by integrating emerging technologies into the existing energy infrastructure. This book focuses on the role and significance of emerging technologies in the energy sector and covers the various technological interventions for both conventional and unconventional energy resources and provides meaningful insights into smart and sustainable energy solutions. The book also discusses future directions for smart and sustainable developments in the energy sector.
Soft Computing In Industry 5 0 For Sustainability
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Author : C Kishor Kumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Soft Computing In Industry 5 0 For Sustainability written by C Kishor Kumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs. The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT 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. The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.