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2022 [1]
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A novel probabilistic framework with interpretability for generator coherency identification
Journal article
Liu, Fengrui, Yin, Yikun, Li, Baitong. A novel probabilistic framework with interpretability for generator coherency identification[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 143, 108474.
Authors:
Liu, Fengrui
;
Yin, Yikun
;
Li, Baitong
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Submit date：2022/08/02
Generator Coherency Identification
Interpretability
Multi-task Learning
Spatial–temporal Auto-encoder
Wide-area Measurement
