| 书目名称 | Smart Cities: Big Data Prediction Methods and Applications | | 编辑 | Hui Liu | | 视频video | | | 概述 | Broadens readers‘ understanding of the smart cities.Describes in detail the latest theories and specific applications of smart time series prediction methods in smart cities, as well as a big data fra | | 图书封面 |  | | 描述 | .Smart Cities: Big Data Prediction Methods and Applications. is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques... This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities... Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.. | | 出版日期 | Book 2020 | | 关键词 | Smart Cities; Big Data; Data Prediction; Smart Grid; Smart Traffic System; Smart Environments | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-2837-8 | | isbn_softcover | 978-981-15-2839-2 | | isbn_ebook | 978-981-15-2837-8 | | copyright | Springer Nature Singapore Pte Ltd. 2020 |
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发表于 2025-3-21 17:00:17
