Power system stability, Power System Stability and Control, pp.1-12, 2012. ,
Mastering the game of Go with deep neural networks and tree search, Nature, vol.34, issue.7587, pp.484-489, 2016. ,
DOI : 10.3233/ICG-2011-34302
Optimal Power Flow Solutions, IEEE Transactions on Power Apparatus and Systems, vol.87, issue.10, pp.1866-1876, 1968. ,
DOI : 10.1109/TPAS.1968.292150
Critical review of recent advances and further developments needed in AC optimal power flow, Electric Power Systems Research, vol.136, pp.57-68, 2016. ,
DOI : 10.1016/j.epsr.2016.02.008
Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.1115
Generative adversarial nets, Advances in neural information processing systems, pp.2672-2680, 2014. ,
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education, IEEE Transactions on Power Systems, vol.26, issue.1, pp.12-19, 2011. ,
DOI : 10.1109/TPWRS.2010.2051168
URL : http://www.pserc.cornell.edu/matpower/MATPOWER-paper.pdf
Optimal load flow with steadystate security, pp.745-751, 1974. ,
DOI : 10.1109/tpas.1974.293972
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.7779
Day-ahead security assessment under uncertainty relying on the combination of preventive and corrective controls to face worst-case scenarios, PSCC proceedings Stockholm, 2011. ,
Contingency Ranking With Respect to Overloads in Very Large Power Systems Taking Into Account Uncertainty, Preventive, and Corrective Actions, IEEE Transactions on Power Systems, vol.28, issue.4, pp.4909-4917, 2013. ,
DOI : 10.1109/TPWRS.2013.2251015
URL : http://orbi.ulg.ac.be/bitstream/2268/146692/1/06488772.pdf