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portada Data Analytics for Smart Grids Applications—A Key to Smart City Development
Formato
Libro Físico
Colección
Intelligent Systems Reference Library
Año
2024
N° páginas
451
Encuadernación
Tapa Blanda
Dimensiones
23.50 x 15.50 cm
ISBN13
9783031460944

Data Analytics for Smart Grids Applications—A Key to Smart City Development

Devendra Kumar Sharma;Rohit Sharma;Raghvendra Kumar;Gwanggil Jeon (Autor) · Springer International Publishing AG · Tapa Blanda

Data Analytics for Smart Grids Applications—A Key to Smart City Development - Devendra Kumar Sharma;Rohit Sharma;Raghvendra Kumar;Gwanggil Jeon

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Reseña del libro "Data Analytics for Smart Grids Applications—A Key to Smart City Development"

This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids.

This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.

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