Approximations for Optimal Experimental Design in Power System Parameter Estimation.
Xu DuAlexander EngelmannTimm FaulwasserBoris HouskaPublished in: CoRR (2022)
Keyphrases
- parameter estimation
- power system
- experimental design
- operating point
- model selection
- maximum likelihood
- markov random field
- least squares
- em algorithm
- sample size
- parameter estimation algorithm
- active learning
- empirical studies
- optimal power flow
- expectation maximization
- parameter values
- power generation
- computational intelligence
- optimal solution
- active power
- feature selection
- machine learning
- higher order
- semi supervised
- upper bound
- optical flow
- objective function
- voltage stability
- similarity measure
- artificial intelligence