Dr Zekun Guo

Dr Zekun Guo

Lecturer in Electrical Engineering

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

Qualifications

  • BEng
  • MRes (University of Edinburgh)
  • PhD / DPhil (Brunel University London)

Summary

Dr Zekun Guo is a Lecturer at the Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) at the University of Hull. He received his PhD degree in Electronic and Electrical Engineering from Brunel University in August 2023. He started his PhD at Cranfield University on 1st November 2019, then he transferred to Brunel University London on 1st August 2021. His PhD research topic was Electrifying Energy Networks for Green Airports (funded by EPSRC supergen and Department for Transport project).

Dr Guo completed his MSc by research in Energy Systems (2019) at The University of Edinburgh, and received B.Eng degree in Energy and Environment System Engineering (2018) from Shandong University.

Recent outputs

View more outputs

Journal Article

Multi-Objective Optimization for Solar-Hydrogen-Battery-Integrated Electric Vehicle Charging Stations with Energy Exchange

Duan, L., Guo, Z., Taylor, G., & Lai, C. S. (2023). Multi-Objective Optimization for Solar-Hydrogen-Battery-Integrated Electric Vehicle Charging Stations with Energy Exchange. Electronics, 12(19), Article 4149. https://doi.org/10.3390/electronics12194149

Infrastructure planning for airport microgrid integrated with electric aircraft and parking lot electric vehicles

Guo, Z., Li, B., Taylor, G., & Zhang, X. (2023). Infrastructure planning for airport microgrid integrated with electric aircraft and parking lot electric vehicles. eTransportation, 17, Article 100257. https://doi.org/10.1016/j.etran.2023.100257

Techno-economic assessment of wireless charging systems for airport electric shuttle buses

Guo, Z., Lai, C. S., Luk, P., & Zhang, X. (2023). Techno-economic assessment of wireless charging systems for airport electric shuttle buses. Journal of Energy Storage, 64, Article 107123. https://doi.org/10.1016/j.est.2023.107123

Aviation-to-Grid Flexibility Through Electric Aircraft Charging

Guo, Z., Zhang, J., Zhang, R., & Zhang, X. (2022). Aviation-to-Grid Flexibility Through Electric Aircraft Charging. IEEE Transactions on Industrial Informatics, 18(11), 8149-8159. https://doi.org/10.1109/TII.2021.3128252

Analysis of approaches for modeling the low frequency emission of LED lamps

Collin, A. J., Djokic, S. Z., Drapela, J., Guo, Z., Langella, R., Testa, A., & Watson, N. R. (2020). Analysis of approaches for modeling the low frequency emission of LED lamps. Energies, 13(7), Article 1571. https://doi.org/10.3390/en13071571

Research interests

Smart Grid

Transportation Electrification

Power System Stability and Resilience

Artificial Intelligence Applications in Electrical Engineering

Membership/Fellowship of professional body

IEEE Member

2023

Affiliate of Royal Aeronautical Society

2023

Top