Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring
PDF
  • eBook:
    Data Fusion and Data Mining for Power System Monitoring
  • Author:
    Arturo Román Messina
  • Edition:
    1 edition
  • Categories:
  • Data:
    May 18, 2020
  • ISBN:
    0367333678
  • ISBN-13:
    9780367333676
  • Language:
    English
  • Pages:
    266 pages
  • Format:
    PDF

Book Description
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 analyticsApplications to a wide range of power networks are provided including distribution and transmission networksProvides holistic approach to the problem of data mining and data fusion using cutting-edge methodologies and technologiesIncludes applications to massive spatiotemporal data from simulations and actual events

Content

Section I - Overview of Modern Wide-Area Monitoring Systems
1. Introduction
2. Data Mining and Data Fusion Architectures

Section II - Advanced Projection-Based Data Mining and Data Fusion Techniques
3. Data Parameterization, Clustering, and Denoising
4. Spatiotemporal Data Mining
5. Multisensor Data Fusion
6. Dimensionality Reduction and Feature Extraction and Classification
7. Forecasting Decision Support Systems

Section III - Challenges and Opportunities in the Application of Data Mining and Data Fusion Techniques
8. Data Fusion and Data Mining Analysis and Visualization
9. Emerging Topics in Data Mining and Data Fusion
10. Experience with the Application of Data Fusion and Data Mining for Power System Health Monitoring

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