Smart Cities: Big Data Prediction Methods and Applications eBook

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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.

This is a digital product.

Smart Cities: Big Data Prediction Methods and Applications is written by Hui Liu and published by Springer. The Digital and eTextbook ISBNs for Smart Cities: Big Data Prediction Methods and Applications are 9789811528378, 9811528373 and the print ISBNs are 9789811528361, 9811528365.