| Infrastructure planning for fast charging stations in a competitive market Z Guo, J Deride, Y Fan Transportation Research Part C: Emerging Technologies 68, 215-227, 2016 | 114 | 2016 |
| Impacts of integrating topology reconfiguration and vehicle-to-grid technologies on distribution system operation Z Guo, Z Zhou, Y Zhou IEEE Transactions on Sustainable Energy 11 (2), 1023-1032, 2019 | 62 | 2019 |
| Residual value analysis of plug-in vehicles in the United States Z Guo, Y Zhou Energy Policy 125, 445-455, 2019 | 43 | 2019 |
| Estimating traffic speed with single inductive loop event data XY Lu, P Varaiya, R Horowitz, Z Guo, J Palen Transportation research record 2308 (1), 157-166, 2012 | 40 | 2012 |
| A stochastic multiagent optimization framework for interdependent transportation and power system analyses Z Guo, F Afifah, J Qi, S Baghali IEEE Transactions on Transportation Electrification 7 (3), 1088-1098, 2021 | 35 | 2021 |
| Data mining of plug-in electric vehicles charging behavior using supply-side data C Siddique, F Afifah, Z Guo, Y Zhou Energy Policy 161, 112710, 2022 | 32 | 2022 |
| Electric vehicles for distribution system load pickup under stressed conditions: A network equilibrium approach S Baghali, Z Guo, W Wei, M Shahidehpour IEEE Transactions on Power Systems 38 (3), 2304-2317, 2022 | 23 | 2022 |
| Spatial pricing of ride-sourcing services in a congested transportation network F Afifah, Z Guo Transportation Research Part C: Emerging Technologies 142, 103777, 2022 | 21 | 2022 |
| Contingency-constrained unit commitment with intervening time for system adjustments Z Guo, RLY Chen, N Fan, JP Watson IEEE Transactions on Power Systems 32 (4), 3049-3059, 2016 | 20 | 2016 |
| A stochastic multi-agent optimization model for energy infrastructure planning under uncertainty in an oligopolistic market Z Guo, Y Fan Networks and Spatial Economics 17, 581-609, 2017 | 19 | 2017 |
| Co-optimization of charging scheduling and platooning for long-haul electric freight vehicles MR Alam, Z Guo Transportation Research Part C: Emerging Technologies 147, 104009, 2023 | 14 | 2023 |
| Optimization-based trip chain emulation for electrified ride-sourcing charging demand analyses MR Alam, C Hou, S Aeschliman, Y Zhou, Z Guo Transportation Letters 15 (6), 510-526, 2023 | 12 | 2023 |
| Deliver a set of tools for resolving bad inductive loops and correcting bad data XY Lu, ZW Kim, M Cao, P Varaiya, R Horowitz | 11 | 2010 |
| Charging infrastructure planning for ride-sourcing electric vehicles considering drivers’ value of time MR Alam, Z Guo Transportation Letters 15 (6), 573-583, 2023 | 9 | 2023 |
| Analyzing the travel and charging behavior of electric vehicles-a data-driven approach S Baghali, S Hasan, Z Guo 2021 IEEE Kansas Power and Energy Conference (KPEC), 1-5, 2021 | 9 | 2021 |
| Dynamic distribution network reconfiguration considering travel behaviors and battery degradation of electric vehicles Z Guo, S Lei, Y Wang, Z Zhou, Y Zhou 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 8 | 2017 |
| Expectations and understanding of advanced driver assistance systems among drivers, pedestrians, bicyclists, and public transit riders WJ Horrey, A Benson, Z Guo, F Afifah, CJ Hamann, KR Santiago Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2021 | 6 | 2021 |
| Impacts of privately owned electric vehicles on distribution system resilience: A multi-agent optimization approach S Baghali, Z Guo arXiv preprint arXiv:2105.03828, 2021 | 6 | 2021 |
| Investigating the spatiotemporal charging demand and travel behavior of electric vehicles using GPS data: A machine learning approach S Baghali, Z Guo, S Hasan 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 5 | 2022 |
| An evaluation of the potential for shifting of freight from truck to rail and its impacts on energy use and GHG emissions Y Zhou, AD Vyas, Z Guo Argonne National Lab.(ANL), Argonne, IL (United States), 2017 | 5 | 2017 |
Yan (Joann) ZhouArgonne National LaboratoryE-mail megerősítve itt: anl.gov