Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
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Title
Adding power of artificial intelligence to situational awareness of large interconnections dominated by inverter‐based resources
Authors
Keywords
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Journal
High Voltage
Volume 6, Issue 6, Pages 924-937
Publisher
Institution of Engineering and Technology (IET)
Online
2021-10-25
DOI
10.1049/hve2.12157
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- (2017) Yang Weng et al. IEEE Transactions on Smart Grid
- A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye
- (2017) Yong Liu et al. IEEE Access
- Wide-Area-Measurement System Development at the Distribution Level: An FNET/GridEye Example
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- Machine Learning Methods for Attack Detection in the Smart Grid
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