A computationally efficient optimization approach for battery systems in islanded microgrid A Das, Z Ni IEEE Transactions on Smart Grid 9 (6), 6489-6499, 2017 | 92 | 2017 |
Optimization in load scheduling of a residential community using dynamic pricing T Roy, A Das, Z Ni 2017 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2017 | 44 | 2017 |
A New Incentive-Based Optimization Scheme for Residential Community With Financial Trade-Offs Z Ni, A Das IEEE Access 6, 57802-57813, 2018 | 35 | 2018 |
Approximate dynamic programming with policy-based exploration for microgrid dispatch under uncertainties A Das, D Wu, Z Ni International Journal of Electrical Power & Energy Systems 142, 108359, 2022 | 21 | 2022 |
A novel fitted rolling horizon control approach for real-time policy making in microgrid A Das, Z Ni IEEE Transactions on Smart Grid 11 (4), 3535-3544, 2020 | 18 | 2020 |
Near optimal control for microgrid energy systems considering battery lifetime characteristics A Das, Z Ni, X Zhong 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 17 | 2016 |
Energy storage system operation: Case studies in deterministic and stochastic environments A Das, Z Ni, TM Hansen, X Zhong 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2016 | 13 | 2016 |
Microgrid energy scheduling under uncertain extreme weather: Adaptation from parallelized reinforcement learning agents A Das, Z Ni, X Zhong International Journal of Electrical Power & Energy Systems 152, 109210, 2023 | 10 | 2023 |
A Comparative Study of Smart Grid Security Based on Unsupervised Learning and Load Ranking S Paul, MR Haq, A Das, Z Ni 2019 IEEE International Conference on Electro Information Technology (EIT …, 2019 | 7 | 2019 |
A Modified Maximum Entropy Inverse Reinforcement Learning Approach for Microgrid Energy Scheduling Y Lin, A Das, Z Ni 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 6 | 2023 |
Aggregating Learning Agents for Microgrid Energy Scheduling During Extreme Weather Events A Das, Z Ni, X Zhong 2021 IEEE Power & Energy Society General Meeting (PESGM), 01-05, 2021 | 5 | 2021 |
Experimental Validation of Approximate Dynamic Programming Based optimization and Convergence on Microgrid Applications A Das, Z Ni, X Zhong, D Wu 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 4 | 2020 |
A fast computation and optimization algorithm for smart grid energy system A Das, Z Ni, W Sun 2017 32nd Youth Academic Annual Conference of Chinese Association of …, 2017 | 4 | 2017 |
An Efficient Distributed Reinforcement Learning for Enhanced Multi-Microgrid Management A Das, Z Ni, D Wu 2022 International Joint Conference on Neural Networks (IJCNN), 1-6, 2022 | 3 | 2022 |
A Case Study of Horizon Window in Receding Horizon Control for Renewable Energy Integration A Das, Z Ni 2019 IEEE International Conference on Electro Information Technology (EIT …, 2019 | 3 | 2019 |
Optimal Coordination of Distributed Energy Resources Using Deep Deterministic Policy Gradient A Das, D Wu 2022 IEEE Electrical Energy Storage Application and Technologies Conference …, 2022 | 2 | 2022 |
Design and performance analysis of a 1550nm al0. 09ga0. 38in0. 53as/inp mqw vcsel by varying injection current T Roy, A Das, S Howlader, HR Ronok, R Basak International Journal of Multidisciplinary Sciences and Engineering 4 (2), 10-15, 2013 | 2 | 2013 |
Optimal Coordination of Electric Vehicles for Grid Services using Deep Reinforcement Learning A Das, D Wu 2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2024 | | 2024 |
Approximate Dynamic Programming with Enhanced Off-policy Learning for Coordinating Distributed Energy Resources A Das, D Wu, BA Bhatti, M Kamaludeen IEEE Transactions on Sustainable Energy, 2024 | | 2024 |
Learning and Optimization for Real-Time Microgrid Energy A Das Power 20, 40, 2021 | | 2021 |