Review of Gaussian Mixture Model-Based Probabilistic Load Flow Calculations

Author:

Prusty B Rajanarayan1,Bingi Kishore1,Gupta Neeraj2

Affiliation:

1. School of Electrical Engineering Vellore Institute of Technology,Vellore,INDIA

2. National Institute of Technology Srinagar,Department of Electrical Engineering,Srinagar,INDIA

Publisher

IEEE

Reference36 articles.

1. Privacy-Preserving Distributed Probabilistic Load Flow

2. Selection of Kin K-means clustering;pham;Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science,0

3. A Bayesian approach for short-term transmission line thermal overload risk assessment

4. The estimating optimal number of Gaus-sian mixtures based on incremental k-means for speaker identification;lee;International Journal of Information Technology,2006

5. A detailed formulation of sensitivity matri-ces for probabilistic load flow assessment considering electro-thermal coupling effect;prusty;2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC),0

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