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A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis

Overview of attention for article published in Frontiers in Big Data, June 2022
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4 X users

Citations

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Readers on

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13 Mendeley
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Title
A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis
Published in
Frontiers in Big Data, June 2022
DOI 10.3389/fdata.2022.897295
Pubmed ID
Authors

John Wenskovitch, Brett Jefferson, Alexander Anderson, Jessica Baweja, Danielle Ciesielski, Corey Fallon

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 31%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Unspecified 4 31%
Chemical Engineering 1 8%
Environmental Science 1 8%
Computer Science 1 8%
Psychology 1 8%
Other 0 0%
Unknown 5 38%