Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985769
Abstract: As a practical tool for big data processing, deep learning not only has drawn extensive attentions in the inherent law and representation level of sample data, but also has been widely concerned in the field… read more here.
Keywords: data enhanced; fault classification; enhanced stacked; stacked autoencoders ... See more keywords
Evaluation of Data-Enhanced Hierarchical Control for Distribution Feeders With High PV Penetration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3168131
Abstract: Reliable and resilient grid operations with high penetration levels of distributed energy resources (DERs) can be achieved with improved situational awareness and seamless integration of DERs with utility enterprise controls. This paper presents the details… read more here.
Keywords: enhanced hierarchical; high penetration; control; data enhanced ... See more keywords
Data-Enhanced Variable Start-Up Pressure Gradient Modeling for Production Prediction in Unconventional Reservoirs
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DOI: 10.3390/en18215744
Abstract: Unconventional reservoirs are critical for future energy supply, but present major challenges for predictions of production due to their ultra-low permeability, strong pressure sensitivity, and non-Darcy flow. Mechanistically grounded physics-based models depend on uncertain parameters… read more here.
Keywords: pressure; enhanced variable; physics; data enhanced ... See more keywords