Data Fusion and Data Mining for Power System Monitoring

1st Edition

Arturo Román Messina

CRC Press
June 30, 2020 Forthcoming
Reference - 264 Pages - 128 B/W Illustrations
ISBN 9780367333676 - CAT# 317982

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Summary

This book provides a comprehensive treatment of advanced data fusion and data mining techniques for power system monitoring and focusing on the 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 using a rigorous analytical formulation. Challenges involved in realistic monitoring, visualization, and analysis of observation data from actual events are also emphasized and examples of applications are given. Aimed at graduate students and researchers in Power Systems, Signal Processing, Electrical Engineering, Machine Learning and Pattern Recognition, this book features applications to a wide range of power networks are provided including distribution and transmission networks Provides a holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologies Includes applications to massive spatio-temporal data from simulations and actual events

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