Data Fusion and Data Mining for Power System Monitoring


Data Fusion and Data Mining for Power System Monitoring
By 作者:Arturo Román Messina
Pages 页数: 266 pages
Publisher Finelybook 出版社: CRC Press; 1 edition (3 Jun. 2020)
Language 语言: English
ISBN-10 书号:0367333678
ISBN-13 书号:9780367333676
The Book Description robot was collected from Amazon and arranged by Finelybook
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 作者: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


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