NDLI: Experience with the Application of Data Fusion and Data Mining for Power System Health Monitoring

Content Provider	Scilit
Author	Messina, Arturo Román
Copyright Year	2020
Description	In this chapter, simulated data from a large-scale, realistic power system model are used to investigate the ability of data mining and data fusion techniques to monitor and visualize power system oscillatory behavior. Practical approaches for mining and fusing data are discussed and the accuracy and applicability of the methods is compared. Implementation and application of data mining and data fusion techniques to complex system data are presented, emphasizing the need to integrate heterogeneous data. Visualization techniques are also examined. Detailed simulation studies with practically relevant data are included to validate the theory and further illustrate the impact of various parameters on the performance of these techniques. Book Name: Data Fusion and Data Mining for Power System Monitoring
Related Links	https://content.taylorfrancis.com/books/download?dac=C2019-0-00355-9&isbn=9780429319440&doi=10.1201/9780429319440-13&format=pdf
Ending Page	245
Page Count	21
Starting Page	225
DOI	10.1201/9780429319440-13
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-05-05
Access Restriction	Open
Subject Keyword	Book Name: Data Fusion and Data Mining for Power System Monitoring Power System Fusion Techniques
Content Type	Text
Resource Type	Chapter

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