Biography：

Dr.Yuting Mou obtained his PhD degree from the Center for Operations Research and Econometrics, Université Catholique de Louvainin 2020. Before that, he received the master degree in Control Science and Engineering from Zhejiang University in 2015, under the supervision of Prof. Minyue Fu and Prof. Zhiyun Lin.He was a researcher of the energy market team at VITO/EnergyVillefrom November 2019 toAugust 2021 and joined Southeast University as aLecturer in October 2021.

Research areas

Recent projects

1. Smart Grid-National Science and Technology Major Project, National Energy Administration, August 2025-July 2029

2. Optimization and Control of the Charging and Discharging of Electric Vehicles Towards Large-Scale Vehicle-to-Grid, National Natural Science Foundation of China,January 2025 - December 2027

Publications     

1. Yikang Xiao, Yuting Mou*, Bo Pan and Min Yang.The design of a time-of-use tariff with a demand charge for residential electric vehicle charging posts. Utilities Policy 97 (2025): 102078.

2. Yuting Mou, Anthony Papavasiliou, Katharina Hartz, Alexander Dusolt and Christian Redl.An analysis of shortage pricing and capacity remuneration mechanisms on the pan-European common energy market. Energy Policy, 183 (2023): 113843.

3. Yuting Mou, Beibei Wang, and Zhan Shen.An optimization scheme for designing power rationing schedules in a long-term power shortage. Electric Power Systems Research 225 (2023): 109816.

4. Luciana Marques, Anibal Sanjab, Yuting Mou, Hélène Le Cadre, and Kris Kessels.Grid impact aware TSO-DSO market models for flexibility procurement: Coordination, pricing efficiency, and information sharing. IEEE Transactions on Power Systems, 38(2):1920–1933,2023.

5. Anibal Sanjab, Hélène Le Cadre, and Yuting Mou.TSO-DSOs stable cost allocation for the joint procurement of flexibility: A cooperative game approach. IEEE Transactions on Smart Grid, 13(6):4449–4464, 2022.

6. Céline Gérard, Daniel Avila, Yuting Mou, Anthony Papavasiliou, and Philippe Chevalier.Comparison of priority service with multilevel demand subscription. IEEE Transactions on Smart Grid, 13(3):2026–2037, 2022.

7. Hélène Le Cadre, Yuting Mou, and Hanspeter Höschle.Parametrized inexact-ADMM based coordination games: A normalized Nash equilibrium approach. European Journal of Operational Research,296(2):696–716, 2022.

8. Yuting Mou, Anthony Papavasiliou, and Philippe Chevalier. A bi-level optimization formulation of priority service pricing. IEEE Transactions on Power Systems, 35(4):2493–2505, 2020.

9. Anthony Papavasiliou, Yuting Mou, Léopold Cambier, and Damien Scieur.Application of stochastic dual dynamic programming to the real-time dispatch of storage under renewable supply uncertainty. IEEE Transactions on Sustainable Energy, 9(2):547–558, 2018.

10. Yuting Mou, Hao Xing, Zhiyun Lin, and Minyue Fu.Decentralized optimal demand-side management for PHEV charging in a smart grid. IEEE Transactions on Smart Grid, 6(2):726–736, 2015.

Teaching

1. Computer Programming (C++)

2. Introduction to power markets

3. Power System Planning and Reliablity

For more information, please visit my personal website: https://yutingmou.github.io/