| Short-term hydrothermal generation scheduling model using a genetic algorithm E Gil, J Bustos, H Rudnick IEEE Transactions on power systems 18 (4), 1256-1264, 2003 | 338 | 2003 |
| A multiperiod generalized network flow model of the US integrated energy system: Part I—Model description A Quelhas, E Gil, JD McCalley, SM Ryan IEEE transactions on power systems 22 (2), 829-836, 2007 | 291 | 2007 |
| Generation capacity expansion planning under hydro uncertainty using stochastic mixed integer programming and scenario reduction E Gil, I Aravena, R Cárdenas IEEE Transactions on Power Systems 30 (4), 1838-1847, 2014 | 140 | 2014 |
| Wind power forecasting based on echo state networks and long short-term memory E López, C Valle, H Allende, E Gil, H Madsen Energies 11 (3), 526, 2018 | 125 | 2018 |
| Modeling integrated energy transportation networks for analysis of economic efficiency and network interdependencies EM Gil, AM Quelhas, JD McCalley, T Van Voorhis Proc. North American Power Symposium (NAPS), 2003 | 68 | 2003 |
| Nodal prices in an integrated energy system AM Quelhas, E Gil, JD McCalley International Journal of Critical Infrastructures 2 (1), 50-69, 2006 | 53 | 2006 |
| A US energy system model for disruption analysis: Evaluating the effects of 2005 hurricanes EM Gil, JD McCalley IEEE Transactions on Power Systems 26 (3), 1040-1049, 2011 | 41 | 2011 |
| Ramping ancillary service for cost-based electricity markets with high penetration of variable renewable energy D Godoy-González, E Gil, G Gutiérrez-Alcaraz Energy Economics 85, 104556, 2020 | 39 | 2020 |
| An efficient method for contingency-constrained transmission expansion planning G Gutiérrez-Alcaraz, N González-Cabrera, E Gil Electric Power Systems Research 182, 106208, 2020 | 30 | 2020 |
| Programación de la generación de corto plazo en sistemas hidrotérmicos usando algoritmos genéticos EMG Sagás MsC Tesis, Universidad Técnica Federico Santa María, 2001 | 26 | 2001 |
| Multi-agent deep reinforcement learning for efficient multi-timescale bidding of a hybrid power plant in day-ahead and real-time markets T Ochoa, E Gil, A Angulo, C Valle Applied Energy 317, 119067, 2022 | 25 | 2022 |
| Generation capacity expansion planning under demand uncertainty using stochastic mixed-integer programming W Gandulfo, E Gil, I Aravena 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 23 | 2014 |
| Short-term hydrothermal generation scheduling using a parallelized stochastic mixed-integer linear programming algorithm E Gil, J Araya Energy Procedia 87, 77-84, 2016 | 21 | 2016 |
| Evaluating the Impact of Wind Power Uncertainty on Power System Adequacy E Gil Proc. International Conference on Probabilistic Methods Applied to Power …, 2012 | 21 | 2012 |
| Evaluating the capacity value of wind power considering transmission and operational constraints E Gil, I Aravena Energy Conversion and Management 78 (948-955), 2014 | 19 | 2014 |
| Hydrological scenario reduction for stochastic optimization in hydrothermal power systems I Aravena, E Gil Applied Stochastic Models in Business and Industry 31 (2), 231-240, 2015 | 15 | 2015 |
| Transmission expansion planning considering an hourly demand curve N González-Cabrera, GG Alcaraz, E Gil IEEE Latin America Transactions 16 (3), 869-875, 2018 | 11 | 2018 |
| Evaluating the contribution of intermittent generation to power system adequacy at different demand levels E Gil, I Aravena 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 10 | 2013 |
| Addressing the effects of climate change on modeling future hydroelectric energy production in Chile E Gil, Y Morales, T Ochoa Energies 14 (1), 241, 2021 | 9 | 2021 |
| Unit commitment with primary frequency control requirements for low-inertia systems M Brito, E Gil, I Calle 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 9 | 2018 |
James McCalleyProfessor of Electrical and Computer Engineering, Iowa State University確認したメール アドレス: iastate.edu