Renewable Energy Integration: Bayesian Networks for Probabilistic State Estimation

Author:

Mengshoel Ole J.,Sundararajan Priya K.,Reed Erik,Piao Dongzhen,Johnson Briana

Publisher

Springer International Publishing

Reference55 articles.

1. Abur, A., Exposito, A.G.: Power System State Estimation: Theory and Implementation, vol. 24. CRC Press, Boca Raton (2004)

2. Aien, M., Rashidinejad, M., Kouhi, S., Fotuhi-Firuzabad, M., Najafi Ravadanegh, S.: Real time probabilistic power system state estimation. Int. J. Electr. Power Energy Syst. 62, 383–390 (2014)

3. Andersen, S.K., Olesen, K.G., Jensen, F.V., Jensen, F.: HUGIN–a shell for building Bayesian belief universes for expert systems. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI 1989), Detroit, MI, pp. 1080–1085 (1989)

4. Basak, A., Brinster, I., Ma, X., Mengshoel, O.J.: Accelerating Bayesian network parameter learning using Hadoop and MapReduce. In: Proceedings of the BigMine 2012, Beijing, China (2012)

5. Bills, G.W.: On-line stability analysis study. Technical report RP 901–1. Electric Power Research Institute (1970)

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