Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting okumak kayıt olmadan

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Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting

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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18,9 x 0,3 x 24,6 cm 18,9 x 0,5 x 24,6 cm ERWIN N GRISWOLD 29 Ekim 2011 15 x 0,5 x 22 cm 28 Ekim 2011 Kolektif 1 Ocak 2017 28 Şubat 2018 Mdpi AG 30 Ekim 2011 18,9 x 0,2 x 24,6 cm 3 Ocak 2017 18,9 x 0,6 x 24,6 cm Additional Contributors 18,9 x 0,4 x 24,6 cm ROBERT H BORK WADE H MCCREE
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Sürüm ayrıntıları
yazar Yi Wang Qixin Chen Chongqing Kang
isbn 10 9811526230
isbn 13 978-9811526237
Yayımcı Springer; 1st ed. 2020. baskı
Dilim İngilizce
Boyutlar ve boyutlar 15,6 x 1,9 x 23,4 cm
Tarafından yayınlandı Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting 25 Şubat 2020

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