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Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow: Preprint
Ahmed Zamzam, Kyri Baker
Power Systems Engineering
University of Colorado Boulder
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Dive into the research topics of 'Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow: Preprint'. Together they form a unique fingerprint.
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Mathematics
Power Grid
100%
Minimizes
50%
Feasible Solution
50%
Optimality
50%
Actual System
50%
Nonconvex Problem
50%
System State
50%
Engineering
AC Optimal Power Flow
100%
Flow Problem
50%
Power Grid
33%
Power Loss
16%
Optimisation Problem
16%
Operational Condition
16%
System State
16%
Generation Cost
16%
Learning Approach
16%
Power Flow Solution
16%
Loading System
16%
Optimality
16%
Feasible Solution
16%
Learning System
16%
Computer Science
optimal power
100%
Machine Learning Approach
16%
And-States
16%
Optimization Problem
16%
Approximation (Algorithm)
16%
Generation Cost
16%
Operational Condition
16%
Feasible Solution
16%