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...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer, Science Press
[2020]
|
| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | XXI, 293 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811526237 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV046575146 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:47:43Z |
| institution | BVB |
| isbn | 9789811526237 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031987032 |
| oclc_num | 1155069429 |
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| owner_facet | DE-29T |
| physical | XXI, 293 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer, Science Press |
| record_format | marc |
| spelling | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting Yi Wang, ... Singapore Springer, Science Press [2020] XXI, 293 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier 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 bicssc bisacsh Energy policy Energy and state Power electronics Natural resources Energy Elektrizitätsversorgung (DE-588)4014224-3 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Verbraucherverhalten (DE-588)4062644-1 gnd rswk-swf Wärmetechnik, Energietechnik, Kraftwerktechnik Elektrizitätsversorgung (DE-588)4014224-3 s Verbraucherverhalten (DE-588)4062644-1 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Wang, Yi Sonstige oth Erscheint auch als Online-Ausgabe 978-981-15-2624-4 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting bicssc bisacsh Energy policy Energy and state Power electronics Natural resources Energy Elektrizitätsversorgung (DE-588)4014224-3 gnd Datenanalyse (DE-588)4123037-1 gnd Verbraucherverhalten (DE-588)4062644-1 gnd |
| subject_GND | (DE-588)4014224-3 (DE-588)4123037-1 (DE-588)4062644-1 |
| title | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting |
| title_auth | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting |
| title_exact_search | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting |
| title_full | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting Yi Wang, ... |
| title_fullStr | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting Yi Wang, ... |
| title_full_unstemmed | Smart Meter Data Analytics Electricity Consumer Behavior Modeling, Aggregation, and Forecasting Yi Wang, ... |
| title_short | Smart Meter Data Analytics |
| title_sort | smart meter data analytics electricity consumer behavior modeling aggregation and forecasting |
| title_sub | Electricity Consumer Behavior Modeling, Aggregation, and Forecasting |
| topic | bicssc bisacsh Energy policy Energy and state Power electronics Natural resources Energy Elektrizitätsversorgung (DE-588)4014224-3 gnd Datenanalyse (DE-588)4123037-1 gnd Verbraucherverhalten (DE-588)4062644-1 gnd |
| topic_facet | bicssc bisacsh Energy policy Energy and state Power electronics Natural resources Energy Elektrizitätsversorgung Datenanalyse Verbraucherverhalten |
| work_keys_str_mv | AT wangyi smartmeterdataanalyticselectricityconsumerbehaviormodelingaggregationandforecasting |