Download the fantastic book titled Smart Meter Data Analytics written by Yi Wang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Smart Meter Data Analytics", which was released on 24 February 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.
Summary of Smart Meter Data Analytics by Yi Wang PDF
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.
Detail About Smart Meter Data Analytics PDF
- Author : Yi Wang
- Publisher : Springer Nature
- Genre : Business & Economics
- Total Pages : 306 pages
- ISBN : 9811526249
- Release Date : 24 February 2020
- PDF File Size : 17,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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