Advances In Digitalization And Machine Learning For Integrated Building Transportation Energy Systems
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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
Machine Learning And Computer Vision For Renewable Energy
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Author : Acharjya, Pinaki Pratim
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Machine Learning And Computer Vision For Renewable Energy written by Acharjya, Pinaki Pratim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Technology & Engineering categories.
As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.
Energy Systems Engineering Exam Essentials
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26
Energy Systems Engineering Exam Essentials written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Study Aids categories.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Enabling Technologies And Business Models For Energy Communities
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Author : Alessandro Burgio
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-19
Enabling Technologies And Business Models For Energy Communities written by Alessandro Burgio 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 2024-01-19 with Technology & Engineering categories.
Encyclopedia Of Renewable Energy Sustainability And The Environment
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-09
Encyclopedia Of Renewable Energy Sustainability And The Environment written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Science categories.
Encyclopedia of Renewable Energy, Sustainability and the Environment, Four Volume Set comprehensively covers all renewable energy resources, including wind, solar, hydro, biomass, geothermal energy, and nuclear power, to name a few. In addition to covering the breadth of renewable energy resources at a fundamental level, this encyclopedia delves into the utilization and ideal applications of each resource and assesses them from environmental, economic, and policy standpoints. This book will serve as an ideal introduction to any renewable energy source for students, while also allowing them to learn about a topic in more depth and explore related topics, all in a single resource.Instructors, researchers, and industry professionals will also benefit from this comprehensive reference. - Covers all renewable energy technologies in one comprehensive resource - Details renewable energies' processes, from production to utilization in a single encyclopedia - Organizes topics into concise, consistently formatted chapters, perfect for readers who are new to the field - Assesses economic challenges faced to implement each type of renewable energy - Addresses the challenges of replacing fossil fuels with renewables and covers the environmental impacts of each renewable energy
Data Driven Analytics For Sustainable Buildings And Cities
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Author : Xingxing Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-09-11
Data Driven Analytics For Sustainable Buildings And Cities written by Xingxing Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-11 with Social Science categories.
This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.
Computer Vision And Machine Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Digital Twin Blockchain And Sensor Networks In The Healthy And Mobile City
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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-02-28
Digital Twin Blockchain And Sensor Networks In The Healthy And Mobile City written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.• Describes the fundamentals of blockchain and digital twin• Explores how blockchain and digital twin work with smart sensor networks • Discusses how future technologies can benefit the healthcare of everyday lives • Explains how intelligent sensor networks can be used in a healthy and mobile city
Digital Transformation In The Construction Industry
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Author : Ehsan Noroozinejad Farsangi
language : en
Publisher: Woodhead Publishing
Release Date : 2025-05-16
Digital Transformation In The Construction Industry written by Ehsan Noroozinejad Farsangi and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste
Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy
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Author : Venkata Bhardwaj Komaragiri
language : en
Publisher: Global Pen Press UK
Release Date :
Advanced Ai And Ml Integrated Network Transformation Models Neural Architectures For Building Resilient And Scalable Infrastructures In A Digital Economy written by Venkata Bhardwaj Komaragiri and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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