Research output per year
Research output per year
Personal profile
Personal profile
Hi! I'm Qixin Liu. As I like trying new things, I have worked or internship experience in many companies or relevant organizations, such as Hitachi, Sina, Kuaishou and Microsoft Xiaoice. I am currently working on my PhD, and I hope to make some contributions to the development of the field of battery storage.
Research interests
Battery Storage Technologies
Energy System Scheduling
Electricity Market
Teaching
MEC106 Engineering Drawing (2223-S2,2425-S1,2526-S1 TA)
EEE346 Modern Power Systems Operation And Control (2425-S2 TA)
EEE211 Electronic Circuits and Systems(2526-S1 TA)
Person Types
- Students
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Carbon-flow Aware VPP Optimal Scheduling and Carbon Trading Framework
Liu, Q. & Saifutdinov, T., 8 Aug 2025, (Submitted) In: IEEE Transactions on Smart Grid.Research output: Contribution to journal › Article › peer-review
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Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
Yang, Z., Yang, R., Han, W. & Liu, Q., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Enhancing Stress-Strain Predictions with Seq2Seq and Cross-Attention based on Small Punch Test
Yang, Z., Yang, R. & Liu, Q., 2025.Research output: Contribution to conference › Paper › peer-review
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Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilization
Zheng, B., Pan, M., Liu, Q., Xu, X., Liu, C., Wang, X., Chu, W., Tian, S., Yuan, J., Xu, Y., Xu, Z. & Li, Y., Dec 2024, In: Scientific Reports. 14, 1, 5582.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus)