Probabilistic Load Flow Modeling Comparing Maximum Entropy and Gram-Charlier Probability Density Function Reconstructions

By T. Williams, Curran Crawford. IEEE Transactions on Power Systems, 2013

98 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/025362ba4142b8c882f095ed53afde1613be0755

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Chongqing Kang
2. Jingwei Yang
3. Yi Wang
4. Qixin Chen
5. Ning Zhang
6. Jun-hui Huang

In Statistics and Probability

1. Chongqing Kang
2. Jingwei Yang
3. Yi Wang
4. Qixin Chen
5. Ning Zhang
6. Jun-hui Huang

Citations in the corpus

• Dependent Discrete Convolution Based Probabilistic Load Flow for the Active Distribution System (2017, methodology): “Applications of cumulant methods such as Gram-Charlier, Edgeworth, and Laguerre have been used to estimate the probability distributions of the system status [12].”