Panda, N. K., & Tindemans, S. H. (2024). Efficient quantification and representation of aggregate flexibility in Electric Vehicles. Electric Power Systems Research, 235, 110811. [link]
Brinkel, N., van Wijk, T., Buijze, A., Panda, N. K., Meersmans, J., Markotić, P., ... & van Sark, W. (2024). Enhancing smart charging in electric vehicles by addressing paused and delayed charging problems. Nature Communications, 15(1), 5089.[link]
Panda, N. K., Li, N., & Tindemans, S. H. (2024, June). Aggregate Peak EV Charging Demand: The Influence of Segmented Network Tariffs. In 2024 IEEE Transportation Electrification Conference and Expo (ITEC) (pp. 1-6). IEEE. [link]
Verbist, F., Panda, N., Vergara, P., & Palensky, P. (2023). Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation. In 2023 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). [link]
Panda, N., Poikilidis, M., & Nguyen, P. (2023). Cost-effective upgrade of the Dutch traction power network: Moving to Bi-directional and controllable 3 kV DC substations for improved performance. IET Electrical Systems in Transportation, 13(2), e12084. [link]
Panda, N., & Paterakis, N. (2021). A Multi-objective Optimization Model for the Quantification of Flexibility in a Large Business Park. In 2021 International Conference on Smart Energy Systems and Technologies (SEST). [link]
In preparation / under review
Panda, N. K., & Tindemans, S. H. (2024). Quantifying the Aggregate Flexibility of EV Charging Stations for Dependable Congestion Management Products: A Dutch Case Study. arXiv preprint arXiv:2403.13367. [link]