Projected gradient descent on Riemannian manifolds with applications to online power system optimization.
Adrian HauswirthSaverio BolognaniGabriela HugFlorian DörflerPublished in: Allerton (2016)
Keyphrases
- power system
- riemannian manifolds
- power flow
- euclidean space
- optimal power flow
- optimization algorithm
- power generation
- transmission line
- computational intelligence
- voltage stability
- reactive power
- multi class classification
- power system stabilizer
- mean shift
- manifold learning
- ieee bus
- covariance matrix
- machine learning
- vector space
- loss function
- kernel function
- maximum likelihood
- distance measure
- objective function
- artificial intelligence