| Optimal design of wind farms in complex terrains using computational fluid dynamics and adjoint methods EGA Antonini, DA Romero, CH Amon Applied Energy 261, 114426, 2020 | 54 | 2020 |
| Improving CFD wind farm simulations incorporating wind direction uncertainty EGA Antonini, DA Romero, CH Amon Renewable Energy 133, 1011-1023, 2019 | 53 | 2019 |
| Evaluation of the different aerodynamic databases for vertical axis wind turbine simulations G Bedon, EGA Antonini, S De Betta, MR Castelli, E Benini Renewable and Sustainable Energy Reviews 40, 386-399, 2014 | 43 | 2014 |
| Continuous adjoint formulation for wind farm layout optimization: A 2D implementation EGA Antonini, DA Romero, CH Amon Applied Energy 228, 2333-2345, 2018 | 33 | 2018 |
| Atmospheric pressure gradients and Coriolis forces provide geophysical limits to power density of large wind farms EGA Antonini, K Caldeira Applied Energy 281, 116048, 2021 | 32 | 2021 |
| Analysis and Modifications of Turbulence Models for Wind Turbine Wake Simulations in Atmospheric Boundary Layers EGA Antonini, DA Romero, CH Amon Journal of Solar Energy Engineering - Including Wind Energy and Building …, 2018 | 31 | 2018 |
| Analysis and Modifications of Turbulence Models for Wind Turbine Wake Simulations in Atmospheric Boundary Layers EGA Antonini, DA Romero, CH Amon Proceedings of the ASME 2016 International Mechanical Engineering Congress …, 2016 | 31 | 2016 |
| Spatial constraints in large-scale expansion of wind power plants EGA Antonini, K Caldeira Proceedings of the National Academy of Sciences 118 (27), e2103875118, 2021 | 29 | 2021 |
| Innovative Discrete-Vortex Model for Dynamic Stall Simulations EGA Antonini, G Bedon, S De Betta, L Michelini, M Raciti Castelli, ... AIAA Journal 53 (2), 479-485, 2015 | 22 | 2015 |
| Identification of reliable locations for wind power generation through a global analysis of wind droughts EGA Antonini, E Virgüez, S Ashfaq, L Duan, TH Ruggles, K Caldeira Communications Earth & Environment 5 (1), 103, 2024 | 13 | 2024 |
| The quantity-quality transition in the value of expanding wind and solar power generation EGA Antonini, TH Ruggles, DJ Farnham, K Caldeira Iscience 25 (4), 2022 | 13 | 2022 |
| Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability A Dhoot, EGA Antonini, DA Romero, CH Amon Energy 223, 120035, 2021 | 11 | 2021 |
| Planning reliable wind-and solar-based electricity systems TH Ruggles, E Virgüez, N Reich, J Dowling, H Bloomfield, EGA Antonini, ... Advances in Applied Energy 15, 100185, 2024 | 8 | 2024 |
| ASME International Mechanical Engineering Congress and Exposition EGA Antonini, DA Romero, CH Amon Phoenix, Arizona, USA, V06BT08A062, 2016 | 7 | 2016 |
| Predicting wind farm wake losses with deep convolutional hierarchical encoder–decoder neural networks DA Romero, S Hasanpoor, EGA Antonini, CH Amon APL Machine Learning 2 (1), 2024 | 5 | 2024 |
| Historical analysis of global distribution of and trends in wind droughts E Antonini, E Virguez, S Ashfaq, L Duan, T Ruggles, K Caldeira EGU General Assembly Conference Abstracts, EGU-5419, 2023 | 2 | 2023 |
| CFD-based Methodology for Wind Farm Layout Optimization EGA Antonini University of Toronto, 2018 | 2 | 2018 |
| Meeting electricity demand with distributed wind and solar generation: system flexibility drives optimal siting EGA Antonini, TH Ruggles, DJ Farnham, K Caldeira ASME International Mechanical Engineering Congress and Exposition 85604 …, 2021 | 1 | 2021 |
| Geophysical Constraints on Global and Regional Wind Power K Caldeira, E Antonini AGU24, 2024 | | 2024 |
| Weather-and climate-driven power supply and demand time series for power and energy system analyses EGA Antonini, A Di Bella, I Savelli, L Drouet, M Tavoni Scientific Data 11 (1), 1-10, 2024 | | 2024 |
David A. RomeroUniversity of TorontoVerified email at utoronto.ca
