| Second-order online nonconvex optimization A Lesage-Landry, JA Taylor, I Shames IEEE Transactions on Automatic Control 66 (10), 4866-4872, 2020 | 39 | 2020 |
| Spatial collection in colloidal quantum dot solar cells O Ouellette, A Lesage‐Landry, B Scheffel, S Hoogland, ... Advanced Functional Materials 30 (1), 1908200, 2020 | 36 | 2020 |
| Dynamic and distributed online convex optimization for demand response of commercial buildings A Lesage-Landry, DS Callaway IEEE Control Systems Letters 4 (3), 632-637, 2020 | 27 | 2020 |
| Setpoint tracking with partially observed loads A Lesage-Landry, JA Taylor IEEE Transactions on Power Systems 33 (5), 5615-5627, 2018 | 24 | 2018 |
| The multi-armed bandit with stochastic plays A Lesage-Landry, JA Taylor IEEE Transactions on Automatic Control 63 (7), 2280-2286, 2017 | 24 | 2017 |
| Online convex optimization of multi-energy building-to-grid ancillary services A Lesage-Landry, H Wang, I Shames, P Mancarella, JA Taylor IEEE Transactions on Control Systems Technology 28 (6), 2416-2431, 2019 | 20 | 2019 |
| Predictive online convex optimization A Lesage-Landry, I Shames, JA Taylor Automatica 113, 108771, 2020 | 19 | 2020 |
| Learning to shift thermostatically controlled loads A Lesage-Landry, JA Taylor | 14 | 2017 |
| Batch reinforcement learning for network-safe demand response in unknown electric grids A Lesage-Landry, DS Callaway Electric Power Systems Research 212, 108375, 2022 | 9 | 2022 |
| Optimally scheduling public safety power shutoffs A Lesage-Landry, F Pellerin, JA Taylor, DS Callaway arXiv preprint arXiv:2203.02861, 2022 | 9 | 2022 |
| Online convex optimization with binary constraints A Lesage-Landry, JA Taylor, DS Callaway IEEE Transactions on Automatic Control 66 (12), 6164-6170, 2021 | 8 | 2021 |
| A second-order cone model of transmission planning with alternating and direct current lines A Lesage-Landry, JA Taylor European Journal of Operational Research 281 (1), 174-185, 2020 | 7 | 2020 |
| Dispatching thermostatically controlled loads for frequency regulation using adversarial multi-armed bandits A Mohamed, A Lesage-Landry, JA Taylor 2017 IEEE Electrical Power and Energy Conference (EPEC), 1-6, 2017 | 6 | 2017 |
| Online convex optimization for demand response A Lesage-Landry, JA Taylor | 5 | 2017 |
| Multi-agent reinforcement learning for renewable integration in the electric power grid V Mai, T Zhang, A Lesage-Landry Proc. of NeurlPS, 2021 | 4 | 2021 |
| Spectroscopic and life-time measurements of quantum dot doped glass for optical refrigeration: a feasibility study S Loranger, A Lesage-Landry, ES de Lima Filho, G Nemova, NO Dantas, ... Laser Refrigeration of Solids VI 8638, 89-96, 2013 | 4 | 2013 |
| A Rapid method for impact analysis of grid-edge technologies on power distribution networks F Li, I Kocar, A Lesage-Landry IEEE Transactions on Power Systems, 2023 | 3 | 2023 |
| Optimally scheduling public safety power shutoffs A Lesage-Landry, F Pellerin, DS Callaway, JA Taylor Stochastic Systems 13 (4), 438-456, 2023 | 2 | 2023 |
| Evolution of High Throughput Satellite Systems: Vision, Requirements, and Key Technologies OB Yahia, Z Garroussi, O Bélanger, B Sansò, JF Frigon, S Martel, ... arXiv preprint arXiv:2310.04389, 2023 | 2 | 2023 |
| Mitigating equipment overloads due to electric vehicle charging using customer incentives F Li, I Kocar, A Lesage-Landry 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 2 | 2023 |
Josh A. TaylorElectrical and Computer Engineering, New Jersey Institute of TechnologyVerified email at njit.edu
