Applications Of Big Data And Artificial Intelligence In Smart Energy Systems

DOWNLOAD
Download Applications Of Big Data And Artificial Intelligence In Smart Energy Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Applications Of Big Data And Artificial Intelligence In Smart Energy Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems
DOWNLOAD
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.
Applications Of Big Data And Artificial Intelligence In Smart Energy Systems
DOWNLOAD
Author : Neelu Nagpal
language : en
Publisher: CRC Press
Release Date : 2023-09-29
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 2023-09-29 with Science 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, domestic loads, and 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 & 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 for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • 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 based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.
Handbook Of Smart Energy Systems
DOWNLOAD
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.
Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy
DOWNLOAD
Author : S. Manoharan
language : en
Publisher: Springer Nature
Release Date : 2024-06-11
Proceedings Of 4th International Conference On Artificial Intelligence And Smart Energy written by S. Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-11 with Computers categories.
This book presents a comprehensive collection of research chapters focusing on innovative solutions to energy and sustainability challenges. It reflects the collaborative efforts of researchers worldwide, showcasing novel approaches to complex problems. Topics discussed range from securing cyber-physical systems to revolutionizing healthcare with AI and robotics, emphasizing sustainable research. The book emphasizes smart and sustainable energy solutions, highlighting advancements in solar panel efficiency, fault analysis, and fuzzy-controlled converters for grid-tied photovoltaic systems. Additionally, it explores AI's transformative potential in water solutions, agriculture, and renewable energy technologies across domains like smart cities, transportation, and healthcare. The insights shared aim to inspire further research, foster discussions, and drive real-world impact toward a resilient, inclusive, and sustainable future. · Discusses issues and offers sustainable solutions to meet the challenges faced by today's economy and industry. · Presents recent research in the sustainable transformation of engineering and technological systems. · Serves as a valuable resource for both academic researchers and industry practitioners interested in Artificial Intelligence (AI) and smart energy sectors.
Proceedings Of 5th International Conference On Artificial Intelligence And Smart Energy
DOWNLOAD
Author : S. Manoharan
language : en
Publisher: Springer Nature
Release Date : 2025-05-22
Proceedings Of 5th International Conference On Artificial Intelligence And Smart Energy written by S. Manoharan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded in our lives, revolutionizing industries and communication. Intelligent computing models are now transforming traditional energy applications in this digital age through smart automation, optimization, and adaptation. The book addresses major facets of intelligent computing and communication technologies, such as intelligent data analysis, predictive modeling, optimization, neural networks, AI, machine learning, deep learning, and the Internet of Things (IoT). All these technologies are discussed in practical applications, e.g., smart cities and smart industries, their transformative possibilities.
Connected Intelligence Transforming Education And Energy With Big Data Cloud Connectors And Artificial Intelligence
DOWNLOAD
Author : Venkata Narasareddy Annapareddy
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-13
Connected Intelligence Transforming Education And Energy With Big Data Cloud Connectors And Artificial Intelligence written by Venkata Narasareddy Annapareddy and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-13 with Computers categories.
In an increasingly interconnected world, the fusion of Big Data, Cloud Computing, and Artificial Intelligence (AI) is reshaping how we learn, teach, and power our societies. Connected Intelligence: Transforming Education and Energy with Big Data, Cloud Connectors, and AI explores the transformative impact of these technologies on two of the most critical sectors of our time—education and energy. The digital revolution has already laid the groundwork, but it is the intelligent connection of systems, platforms, and data streams that is enabling smarter, faster, and more adaptive decision-making. In education, AI-driven analytics and cloud-connected platforms are personalizing learning experiences, enabling remote instruction at scale, and providing educators with real-time insights into student progress. In the energy sector, intelligent grids, predictive maintenance, and data-driven optimization are increasing efficiency, reducing waste, and accelerating the shift toward sustainable, renewable sources. This book provides a comprehensive overview of how connected intelligence is driving innovation across these domains. We examine real-world case studies, emerging technologies, and the evolving ecosystems that support this transformation. Our goal is to bridge the gap between technical innovation and practical application—highlighting both the opportunities and the challenges that come with rapid digital integration. Whether you're a policymaker shaping the future of smart infrastructure, a technologist building the next generation of intelligent systems, or a leader in education or energy looking to adapt and thrive, this book offers actionable insights and forward-thinking perspectives. At the core of connected intelligence lies the promise of a more efficient, equitable, and sustainable future—one where data doesn't just inform decisions but enables meaningful change. As we stand on the brink of this next digital evolution, Connected Intelligence invites you to explore how technology, when thoughtfully applied, can power progress across every classroom and every grid.
Advances In Artificial Intelligence Big Data And Algorithms
DOWNLOAD
Author : Gheorghe Grigoras
language : en
Publisher: IOS Press
Release Date : 2023-12-15
Advances In Artificial Intelligence Big Data And Algorithms written by Gheorghe Grigoras and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Computers categories.
Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.
Artificial Intelligence For Energy Systems
DOWNLOAD
Author : Elissaios Sarmas
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Artificial Intelligence For Energy Systems written by Elissaios Sarmas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.
This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to energy management and efficiency while addressing a scientific gap in the development of advanced algorithmic methods to solve these problems. More specifically, the focus is on the development of models and algorithms for problems falling into three broader categories, namely: (a) Distributed Energy Generation, (b) Microgrid Flexibility, and (c) Building Energy Efficiency. Artificial Intelligence models and mathematical optimization techniques are developed and presented for applications related to each of these categories, through a thorough analysis of the fundamental parameters of each application as well as the interactions among them. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.
Industrial Applications Of Big Data Ai And Blockchain
DOWNLOAD
Author : El Samad, Mahmoud
language : en
Publisher: IGI Global
Release Date : 2024-01-29
Industrial Applications Of Big Data Ai And Blockchain written by El Samad, Mahmoud and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-29 with Business & Economics categories.
Blockchain has become the cornerstone of technologies, supported by others including Big Data and Artificial Intelligence (AI). Originating from cryptocurrency, it transcends boundaries, finding resonance in finance, healthcare, e-governance, and beyond. While blockchain relies on a peer-to-peer approach, enabling nodes to collaborate without the shackles of a central authority, appropriate monitoring and updating of these technologies is a constant necessity. This is especially true for healthcare data systems, where data privacy and security concerns, especially with sensitive health information are paramount. Threads of automation in artificial intelligence (AI) weave through sectors such as business, finance, healthcare, marketing, and governance. Industrial Applications of Big Data, AI, and Blockchain delves into the pulsating realms of big data, AI, and blockchain. From natural language processing's eloquent interpretation of human language to the prowess of AI algorithms in predictive tasks, this book explores how AI enhances decision-making accuracy, catalyzing a paradigm shift in diverse industries. This book is ideal for researchers, business visionaries, tech enthusiasts, and curious minds eager to fathom the transformative potential of these technologies.
Artificial Intelligence For Integrated Smart Energy Systems In Electric Vehicles
DOWNLOAD
Author : Surender Reddy Salkuti
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Artificial Intelligence For Integrated Smart Energy Systems In Electric Vehicles written by Surender Reddy Salkuti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Technology & Engineering categories.
This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI). This book offers a wide and comprehensive practical approach with the applications of AI to address the challenges and opportunities of modern hybrid energy systems for developing advanced hybrid intelligent methodologies for forecasting and scheduling variable power output from renewable energy sources (RESs) and EVs. This will enhance system flexibility and facilitate the integration of RESs and EVs efficiently, which is a step towards a sustainable future. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc. This book aims to provide insights into various suitable solutions to increase the security, reliability, and interoperability of the grid under high penetration of renewable energy, storage systems, and electric transport in the context of the modern smart grid. The multi-objective optimization problems such as economic and emission dispatch problems; flexibility and reliability problems; and economic and reliability problems are solved to determine the trade-off solutions using efficient evolutionary algorithms. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), IoT, Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.