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Smart Meter Data Analytics

Electricity Consumer Behavior Modeling, Aggregation, and Forecasting

Language EnglishEnglish
Book Hardback
Book Smart Meter Data Analytics Yi Wang
Libristo code: 25353653
Publishers Springer Verlag, Singapore, February 2020
This book aims to make the best use of fine-grained smart meter data to process and translate them i... Full description
? points 341 b
141.03
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This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.

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About the book

Full name Smart Meter Data Analytics
Language English
Binding Book - Hardback
Date of issue 2020
Number of pages 293
EAN 9789811526237
Libristo code 25353653
Weight 641
Dimensions 155 x 235 x 23
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