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Smart Meter Data Analytics

- Electricity Consumer Behavior Modeling, Aggregation, and Forecasting
Af: Qixin Chen, Chongqing Kang, Yi Wang Engelsk Paperback

Smart Meter Data Analytics

- Electricity Consumer Behavior Modeling, Aggregation, and Forecasting
Af: Qixin Chen, Chongqing Kang, Yi Wang Engelsk Paperback
Tjek vores konkurrenters priser

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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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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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 293
ISBN-13: 9789811526268
Indbinding: Paperback
Udgave:
ISBN-10: 9811526265
Kategori: Miljøøkonomi
Udg. Dato: 25 feb 2021
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Verlag, Singapore
Oplagsdato: 25 feb 2021
Forfatter(e): Qixin Chen, Chongqing Kang, Yi Wang
Forfatter(e) Qixin Chen, Chongqing Kang, Yi Wang

Kategori Miljøøkonomi

ISBN-13 9789811526268

Sprog Engelsk

Indbinding Paperback

Sider 293

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 25 feb 2021

Oplagsdato 25 feb 2021

Forlag Springer Verlag, Singapore

Kategori sammenhænge