Trajectory prediction and alerting for aircraft mode and energy state awareness KH Shish, J Kaneshige, DM Acosta, S Schuet, T Lombaerts, L Martin, ... Aiaa infotech@ aerospace, 1113, 2015 | 29 | 2015 |
Aircraft mode and energy-state prediction, assessment, and alerting K Shish, J Kaneshige, D Acosta, S Schuet, T Lombaerts, L Martin, ... Journal of Guidance, Control, and Dynamics 40 (4), 804-816, 2017 | 14 | 2017 |
Risk-sensitive security-constrained economic dispatch via critical region exploration AN Madavan, S Bose, Y Guo, L Tong 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 12 | 2019 |
A stochastic primal-dual method for optimization with conditional value at risk constraints AN Madavan, S Bose Journal of Optimization Theory and Applications 190 (2), 428-460, 2021 | 9 | 2021 |
Subgradient methods for risk-sensitive optimization AN Madavan, S Bose arXiv preprint arXiv:1908.01086, 2019 | 6 | 2019 |
Risk-based hosting capacity analysis in distribution systems AN Madavan, N Dahlin, S Bose, L Tong IEEE Transactions on Power Systems, 2023 | 4 | 2023 |
Risk-sensitive energy procurement with uncertain wind AN Madavan, S Bose 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 4 | 2019 |
Conditional value at risk-sensitive solar hosting capacity analysis in distribution networks AN Madavan, N Dahlin, S Bose, L Tong arXiv preprint arXiv:2204.09096, 2022 | 3 | 2022 |
Pricing Conditional Value at Risk-Sensitive Economic Dispatch M Ndrio, AN Madavan, S Bose 2021 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2021 | 2 | 2021 |
Risk-sensitive optimization and pricing for the modern power grid S Bose, M Ndrio, AN Madavan, L Tong, Y Guo 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-1, 2021 | 1 | 2021 |
Risk-sensitive optimization for power systems AN Madavan | | 2022 |
Conditional value at risk sensitive optimization via subgradient methods AN Madavan, S Bose Journal of Environmental Sciences (China) English Ed, 2019 | | 2019 |
Analysis of Reinforcement Learning Algorithms AL Abrantes, AN Madavan | | |