Data Fusion and Data Mining for Power System Monitoring (Paperback)

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring with focus on use of synchronized phasor networks. Relevant statistical data mining techniques are given, and efficient methods to cluster and visualize data collected from multiple sensors are discussed. Both linear and nonlinear data-driven mining and fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized, supported by examples of relevant applications. Features Focuses on systematic illustration of data mining and fusion in power systems Covers issues of standards used in the power industry for data mining and data analytics Applications to a wide range of power networks are provided including distribution and transmission networks Provides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatiotemporal data from simulations and actual events

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	May 2020
First published:	2020
Authors:	Arturo Roman Messina
Dimensions:	234 x 156mm (L x W)
Format:	Paperback
Pages:	250
ISBN-13:	978-0-367-49418-6
Categories:	Books > Science & Mathematics > Mathematics > General Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
LSN:	0-367-49418-3
Barcode:	9780367494186

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