| A survey on state estimation techniques and challenges in smart distribution systems K Dehghanpour, Z Wang, J Wang, Y Yuan, F Bu IEEE Transactions on Smart Grid 10 (2), 2312-2322, 2018 | 406 | 2018 |
| Electrical demand side contribution to frequency control in power systems: a review on technical aspects K Dehghanpour, S Afsharnia Renewable and Sustainable Energy Reviews 41, 1267-1276, 2015 | 148 | 2015 |
| Agent-based modeling of retail electrical energy markets with demand response K Dehghanpour, MH Nehrir, JW Sheppard, NC Kelly IEEE Transactions on Smart Grid 9 (4), 3465-3475, 2016 | 134 | 2016 |
| A time-series distribution test system based on real utility data F Bu, Y Yuan, Z Wang, K Dehghanpour, A Kimber 2019 North American Power Symposium (NAPS), 1-6, 2019 | 112 | 2019 |
| A learning-based power management method for networked microgrids under incomplete information Q Zhang, K Dehghanpour, Z Wang, Q Huang IEEE Transactions on Smart Grid 11 (2), 1193-1204, 2019 | 110 | 2019 |
| Distributed CVR in unbalanced distribution systems with PV penetration Q Zhang, K Dehghanpour, Z Wang IEEE Transactions on Smart Grid 10 (5), 5308-5319, 2018 | 96 | 2018 |
| An agent-based hierarchical bargaining framework for power management of multiple cooperative microgrids K Dehghanpour, H Nehrir IEEE Transactions on Smart Grid 10 (1), 514-522, 2017 | 92 | 2017 |
| Multi-agent safe policy learning for power management of networked microgrids Q Zhang, K Dehghanpour, Z Wang, F Qiu, D Zhao IEEE Transactions on Smart Grid 12 (2), 1048-1062, 2020 | 89 | 2020 |
| Real-time multiobjective microgrid power management using distributed optimization in an agent-based bargaining framework K Dehghanpour, H Nehrir IEEE Transactions on Smart Grid 9 (6), 6318-6327, 2017 | 86 | 2017 |
| A data-driven game-theoretic approach for behind-the-meter PV generation disaggregation F Bu, K Dehghanpour, Y Yuan, Z Wang, Y Zhang IEEE Transactions on Power Systems 35 (4), 3133-3144, 2020 | 80 | 2020 |
| A game-theoretic data-driven approach for pseudo-measurement generation in distribution system state estimation K Dehghanpour, Y Yuan, Z Wang, F Bu IEEE Transactions on Smart Grid 10 (6), 5942-5951, 2019 | 58 | 2019 |
| Agent-based modeling in electrical energy markets using dynamic Bayesian networks K Dehghanpour, MH Nehrir, JW Sheppard, NC Kelly IEEE Transactions on Power Systems 31 (6), 4744-4754, 2016 | 57 | 2016 |
| A survey on smart agent-based microgrids for resilient/self-healing grids K Dehghanpour, C Colson, H Nehrir Energies 10 (5), 620, 2017 | 38 | 2017 |
| Disaggregating customer-level behind-the-meter PV generation using smart meter data and solar exemplars F Bu, K Dehghanpour, Y Yuan, Z Wang, Y Guo IEEE Transactions on Power Systems 36 (6), 5417-5427, 2021 | 37 | 2021 |
| Outage detection in partially observable distribution systems using smart meters and generative adversarial networks Y Yuan, K Dehghanpour, F Bu, Z Wang IEEE Transactions on Smart Grid 11 (6), 5418-5430, 2020 | 37 | 2020 |
| Learning-based real-time event identification using rich real PMU data Y Yuan, Y Guo, K Dehghanpour, Z Wang, Y Wang IEEE Transactions on Power Systems 36 (6), 5044-5055, 2021 | 33 | 2021 |
| Imitation and transfer Q-learning-based parameter identification for composite load modeling J Xie, Z Ma, K Dehghanpour, Z Wang, Y Wang, R Diao, D Shi Ieee transactions on smart grid 12 (2), 1674-1684, 2020 | 27 | 2020 |
| A multi-timescale data-driven approach to enhance distribution system observability Y Yuan, K Dehghanpour, F Bu, Z Wang IEEE Transactions on Power Systems 34 (4), 3168-3177, 2019 | 26 | 2019 |
| A data-driven customer segmentation strategy based on contribution to system peak demand Y Yuan, K Dehghanpour, F Bu, Z Wang IEEE Transactions on Power Systems 35 (5), 4026-4035, 2020 | 24 | 2020 |
| A data-driven framework for assessing cold load pick-up demand in service restoration F Bu, K Dehghanpour, Z Wang, Y Yuan IEEE Transactions on Power Systems 34 (6), 4739-4750, 2019 | 23 | 2019 |
