Annual Report on the Big Data of New Energy Vehicle in China (2022) PDF Download
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Author: Zhenpo Wang
Publisher: Springer Nature
ISBN: 9819964113
Category : Technology & Engineering
Languages : en
Pages : 348
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Book Description
This is an Open Access book. This book based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs & charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.
Author: Zhenpo Wang
Publisher: Springer Nature
ISBN: 9819964113
Category : Technology & Engineering
Languages : en
Pages : 348
Get Book Here
Book Description
This is an Open Access book. This book based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs & charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.
Author: Zhenpo Wang
Publisher: Springer Nature
ISBN: 9811955085
Category : Automobile industry and trade
Languages : en
Pages : 159
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Book Description
This open access book, based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs&charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.
Author: Zhenpo Wang
Publisher: Springer Nature
ISBN: 9819748402
Category :
Languages : en
Pages : 353
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Book Description
Author: Automotive Data of China Co., Ltd
Publisher: Springer Nature
ISBN: 9811975027
Category : Technology & Engineering
Languages : en
Pages : 402
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Book Description
This book studies the low-carbon transformation path of the automotive industry. It makes a quantitative analysis of the emission reduction potential of the transformation path based on the systemic accounting of the carbon emissions in the whole life cycle of automobiles. The content puts forward scientific and reasonable suggestions on Chinese automobiles' low-carbon development strategy and transformation path. This book is used as a reference for professionals in the automotive industry who are engaged in automotive life cycle assessment, carbon footprint research, carbon neutrality planning research, etc. It is also used as a reference book for students in automotive in universities.
Author: Zhongbao Wei
Publisher: Springer Nature
ISBN: 9819746396
Category :
Languages : en
Pages : 247
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Book Description
Author: Qingxin Yang
Publisher: Springer Nature
ISBN: 9811915288
Category : Technology & Engineering
Languages : en
Pages : 1465
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Book Description
This book gathers outstanding papers presented at the 16th Annual Conference of China Electrotechnical Society, organized by China Electrotechnical Society (CES), held in Beijing, China, from September 24 to 26, 2021. It covers topics such as electrical technology, power systems, electromagnetic emission technology, and electrical equipment. It introduces the innovative solutions that combine ideas from multiple disciplines. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.
Author: Seifedine Kadry
Publisher: Springer Nature
ISBN: 9464631244
Category : Business & Economics
Languages : en
Pages : 739
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Book Description
This is an open access book.2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022) will be held from December 2 to 3 in Zhengzhou, China. The conference is co-hosted by Henan University, Henan Academy of Sciences and Henan Association for Science and technology. It dedicates to create a platform for academic communications between specialists and scholars in the fields of Big Data Economy and Information Management. The conference will create a path to establish a research relation for the authors and listeners with opportunities for collaboration and networking among the universities and institutions for promoting research and developing technologies.
Author: Hans Steege
Publisher: Springer Nature
ISBN: 3031419928
Category :
Languages : en
Pages : 541
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Book Description
Author: Bin Zhou
Publisher: Frontiers Media SA
ISBN: 2832552463
Category : Technology & Engineering
Languages : en
Pages : 385
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Book Description
Prosumers, such as energy storage, smart home, and microgrids, are the consumers who also produce and share surplus energy with other users. With capabilities of flexibly managing the generation, storage and consumption of energy in a simultaneous manner, prosumers can help improve the operation efficiency of smart grid. Due to the rapid expansion of prosumer clusters, the planning and operation issues of prosumer energy systems have been increasingly raised. Aspects including energy infrastructure design, energy management, system stability, etc., are urgently required to be addressed while taking full advantage of prosumers' capabilities. However, up to date, the research on prosumers has not drawn sufficient attention. This proposal presents the need to introduce a Research Topic on prosumer energy systems in Frontiers in Energy Research. We believe this Research Topic can promote the research on advanced planning and operation technologies of prosumer energy systems and contribute to the carbon neutrality for a sustainable society.
Author: V. Indragandhi
Publisher: Elsevier
ISBN: 0443289522
Category : Technology & Engineering
Languages : en
Pages : 318
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Book Description
Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of "green" machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation. - Packages core concepts of green machine learning and smart grids in a clear, understandable way - Includes real-world, practical applications and case studies for replication and innovative solution development - Introduces readers with a range of expertise to best practices and the latest technological advances
