Conference articles
I. Romero, R. Marcia, I. Aravena, and N. Petra. Optimal PMU Placement for State Estimation with Grid Parameter Uncertainty. In 2025 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), San Diego, CA, USA, 2025.
S. Majumder, I. Aravena, and L. Xie. An Econometric Analysis of Large Flexible Cryptocurrencymining Consumers in Electricity Markets. In Proceedings of the 58th Annual Hawaii International Conference on System Sciences (HICSS’25), Waikoloa Village, Hawaii, January 2025.
M. Landajuela, C.S. Lee, J. Yang, R. Glatt, C.P. Santiago, I. Aravena, T. Mundhenk, G. Mulcahy, B. K Petersen. A Unified Framework for Deep Symbolic Regression. In Advances in Neural Information Processing Systems (NeurIPS) 35, November 2022.
T.V. Zuluaga, A. Musselman, I. Aravena. Deterministic dual dynamic programming applied to optimal power system restoration. In 2022 IEEE PES General Meeting, July 2022.
G. Patsakis, I. Aravena, and D. Rajan. A stochastic program for black-start allocation. In Proceedings of the 52nd Annual Hawaii International Conference on System Sciences (HICSS’19), Wailea, Hawaii, January 2019.
I. Aravena, D. Rajan, and G. Patsakis. Mixed-integer linear approximations of AC power flow equations for systems under abnormal operating conditions. In 2018 IEEE PES General Meeting, August 2018.
I. Aravena and A. Papavasiliou. A distributed asynchronous algorithm for the two-stage stochastic unit commitment problem. In 2015 IEEE PES General Meeting, July 2015.
H. Le Cadre, I. Aravena, and A. Papavasiliou. Solar PV power forecasting using extreme learning machine and experts advice fusion. In 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, April 2015.
A. Papavasiliou, S.S. Oren, and I. Aravena. Stochastic modeling of multi-area wind power production. In Proceedings of the 48th Annual Hawaii International Conference on System Sciences (HICSS’15), Kauai, Hawaii, January 2015.
W. Gandulfo, E. Gil, and I. Aravena. Generation capacity expansion planning under demand uncertainty using stochastic mixed-integer programming. In 2014 IEEE PES General Meeting | Conference Exposition, pages 1–5, July 2014.
I. Aravena, R. Cárdenas, E. Gil, V. Hinojosa, P. Reyes, and J.C. Araneda. Co-optimization of generation and transmission investment decisions under hydro uncertainty using stochastic mixed-integer programming. In X Latin-American Congress on Electricity Generation and Transmission - CLAGTEE 2013, Viña del Mar, Chile, September 2013.
E. Gil and I. Aravena. Evaluating the contribution of intermittent generation to power system adequacy at different demand levels. In 2013 IEEE PES General Meeting, July 2013.
E. Gil and I. Aravena. A LOLP-based method to evaluate the contribution of wind generation to power system adequacy. In Fourth International Renewable Energy Congress (IREC’2012), Sousse, Tunisia, December 2012.