Applications Of Date Driven Artificial Intelligence In Integrated Energy Systems
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Applications Of Date Driven Artificial Intelligence In Integrated Energy Systems
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Author : Qiuye Sun
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-27
Applications Of Date Driven Artificial Intelligence In Integrated Energy Systems written by Qiuye Sun and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Technology & Engineering categories.
Artificial Intelligence In Performance Driven Design
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Author : Narjes Abbasabadi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-05-29
Artificial Intelligence In Performance Driven Design written by Narjes Abbasabadi 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 2024-05-29 with Architecture categories.
ARTIFICIAL INTELLIGENCE IN PERFORMANCE-DRIVEN DESIGN A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AI’s capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.
Biomass And Solar Powered Sustainable Digital Cities
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Author : O. V. Gnana Swathika
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Biomass And Solar Powered Sustainable Digital Cities written by O. V. Gnana Swathika 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 2024-10-15 with Technology & Engineering categories.
Written and edited by a team of experts in the field, this groundbreaking new volume from Wiley-Scrivener offers the latest trends, processes, and breakthroughs in biomass and solar-powered technologies aimed at marching toward sustainable digital cities. This exciting new volume includes the research contribution of experts in solar and biomass-powered digital cities, incorporating sustainability by embedding computing and communication in day-to-day smart city applications. This book will be of immense use to practitioners in industries focusing on adaptive configuration and optimization in smart city systems. A wide array of smart city applications is also discussed with suitable use cases. The contributors to this book include renowned academics, industry practitioners, and researchers. Through case studies, it offers a rigorous introduction to the theoretical foundations, techniques, and practical solutions in this exciting area. Building smart cities with effective communication, control, intelligence, and security is discussed from societal and research perspectives. Whether for the veteran engineer, new hire, or student, this is a must-have volume for any library.
Machine Learning For Energy Systems
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Author : Denis Sidorov
language : en
Publisher: MDPI
Release Date : 2020-12-08
Machine Learning For Energy Systems written by Denis Sidorov and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Technology & Engineering categories.
This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on.
Handbook On Digital Twin And Artificial Intelligence Techniques For Rail Applications
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Author : Maksym Spiryagin
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Handbook On Digital Twin And Artificial Intelligence Techniques For Rail Applications written by Maksym Spiryagin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Technology & Engineering categories.
With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems. As a result, this handbook showcases the modern methods, methodologies and frameworks for the development of DT and AI architectures and apparatus in the area of the existing railway systems and transport engineering tasks. The chapters cover such varied and specialized topics as the processes related to the transformation of a physical twin into a digital twin; the application of data-driven and physics-based simulation approaches in the development of digital twins; asset management application tasks with the implementation of DT and AI; and the experimental and field applications of the DT and AI concepts and technologies in railway transport system design and predictive maintenance tasks. Handbook on Digital Twin and Artificial Intelligence Techniques for Rail Applications is essential reading for engineers, practitioners and researchers involved in the development of railway transport and transit systems.
Hybrid Artificial Intelligent Systems
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Author : Jeng-Shyang Pan
language : en
Publisher: Springer
Release Date : 2013-08-15
Hybrid Artificial Intelligent Systems written by Jeng-Shyang Pan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-15 with Computers categories.
This volume constitutes the proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2013, held in Salamanca, Spain, in September 2013. The 68 papers published in this volume were carefully reviewed and selected from 218 submissions. They are organized in topical sessions on Agents and Multi Agents Systems; HAIS Applications; Classification and Cluster Analysis; Data Mining and Knowledge Discovery; Video and Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.
Gastronomic Sustainability Solutions For Community And Tourism Resilience
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Author : Bhartiya, Shivam
language : en
Publisher: IGI Global
Release Date : 2024-04-15
Gastronomic Sustainability Solutions For Community And Tourism Resilience written by Bhartiya, Shivam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.
In the rapidly changing landscape of global tourism and community dynamics, a pressing challenge emerges — the delicate balance between gastronomy tourism, community development, and social impact. As communities grapple with the consequences of unchecked tourism, the need for a sustainable approach becomes vital. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a groundbreaking exploration illuminating the intricate interplay between food, culture, and socio-economic aspects. This comprehensive work identifies the challenges and presents innovative solutions that transcend traditional paradigms, ensuring the long-term well-being of both host communities and the ever-evolving world of travel. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a transformative narrative revealing sustainable gastronomy practices' power. As communities seek avenues for economic growth and cultural preservation, this book charts a course toward genuine, mutually beneficial travel experiences. Through compelling case studies and theoretical insights, readers are guided through a journey showcasing how gastronomy tourism's convergence can revitalize local economies, celebrate cultural heritage, and foster cross-cultural understanding. The book proposes a paradigm shift in how we approach travel and provides tangible strategies for community leaders, businesses, and individuals to embrace a more sustainable and responsible future.
Artificial Intelligence For Robotics And Autonomous Systems Applications
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Author : Ahmad Taher Azar
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Artificial Intelligence For Robotics And Autonomous Systems Applications written by Ahmad Taher Azar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.
Artificial Intelligence For Energy Systems
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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.
Driving 5g Mobile Communications With Artificial Intelligence Towards 6g
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Author : Dragorad A. Milovanovic
language : en
Publisher: CRC Press
Release Date : 2023-04-06
Driving 5g Mobile Communications With Artificial Intelligence Towards 6g written by Dragorad A. Milovanovic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Technology & Engineering categories.
Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuous innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly. The area of wireless multimedia communications has developed immensely, generating a large number of concepts, ideas, technical specifications, mobile standards, patents, and articles. Identifying the basic ideas and their complex interconnections becomes increasingly important. The book is divided into three major parts, with each part containing four or five chapters: Advanced 5G communication Machine learning-based communication and network automation Artificial Intelligence towards 6G The first part discusses three main scenarios and standard specification of 5G use cases (eMBB, URLLC, mMTC), vehicular systems beyond 5G, and efficient edge architecture on NFV infrastructure. In the second part, different AI/ML-based methodologies and open research challenges are presented in introducing 5G-AIoT artificial intelligence of things, scheduling in 5G/6G communication systems, application of DL techniques to modulation, detection, and channel coding as well as 5G Open Source tools for experimentations and testing. The third part paved the way to deployment scenarios for different innovative services including technologies and applications of 5G/6G intelligent connectivity, AI-assisted eXtended Reality, integrated 5G-IoT architecture in next-generation Smart Grid, privacy requirements in a hyper-connected world, and evaluation of representative 6G use cases and technology trends. The book is written by field experts from Europe and Mauritius who introduce a blend of scientific and engineering concepts covering this emerging wireless communication era. It is a very good reference book for telecom professionals, engineers, and practitioner in various 5G vertical domains and, finally, a basis for student courses in 5G/6G wireless systems.