It takes the average reader 5 hours and 13 minutes to read Smart Meter Data Analytics by Yi Wang
Assuming a reading speed of 250 words per minute. Learn more
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.
Smart Meter Data Analytics by Yi Wang is 306 pages long, and a total of 78,336 words.
This makes it 103% the length of the average book. It also has 96% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 8 minutes to read Smart Meter Data Analytics aloud.
Smart Meter Data Analytics is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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