N. Golovanov, H. Albert, . St, N. Gheorghe, G. C. Mogoreanun et al., Renewable sources in power systems, AGIR: Bucharest, pp.1-5, 2009.

Z. Wu, Transmission expansion planning and unit commitment with large-scale integration of wind power, 2016.

J. L. Higle, Stochastic Programming: Optimization When Uncertainty Matters, informs in Emerging Theory, Methods, and Appplications, pp.30-53, 2005.
DOI : 10.1287/educ.1053.0016

URL : http://tucson.sie.arizona.edu/faculty/higle/images/pdf/HigleInforms05.pdf

S. F. Santos, D. Z. Fitiwi, M. Shafie-khah, A. W. Bizuayehu, C. M. Cabrita et al., New Multistage and Stochastic Mathematical Model for Maximizing RES Hosting Capacity???Part I: Problem Formulation, IEEE Transactions on Sustainable Energy, vol.8, issue.1, pp.304-319, 2017.
DOI : 10.1109/TSTE.2016.2598400

S. F. Santos, D. Z. Fitiwi, M. Shafie-khah, A. W. Bizuayehu, C. M. Cabrita et al., New Multi-Stage and Stochastic Mathematical Model for Maximizing RES Hosting Capacity???Part II: Numerical Results, IEEE Transactions on Sustainable Energy, vol.8, issue.1, pp.320-330, 2017.
DOI : 10.1109/TSTE.2016.2584122

J. L. Ho, Stochastic Co-optimization for National Transmission Planning Under Environmental Regulation, MSc dissertation

C. A. Sima, G. C. Lazaroiu, and V. Dumbrava, Transmission expansion planning optimization for improving RES integration on electricity market, 2017 10th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp.2017-855
DOI : 10.1109/ATEE.2017.7905085

S. Lumbreras, A. Ramos, and P. Sánchez, Automatic selection of candidate investments for Transmission Expansion Planning, International Journal of Electrical Power & Energy Systems, vol.59, pp.130-140, 2014.
DOI : 10.1016/j.ijepes.2014.02.016

Y. H. Wu, A stochastic mathematical program with complementary constraints for market-wide power generation and transmission expansion planning", master of science, 2014.

M. Carrion, J. M. Arroyo, and N. , Vulnerability-Constrained Transmission Expansion Planning: A Stochastic Programming Approach, IEEE Transactions on Power Systems, vol.22, issue.4, pp.1436-1445, 2007.
DOI : 10.1109/TPWRS.2007.907139