Xiaochong Dong

I am currently a postdoctoral researcher of the Department of Electrical Engineering, Tsinghua University (supervised by Prof. Shengwei Mei).

I received my Bachelor’s degree in electrical engineering from China Three Gorges University, Yichang, China, in 2017 (supervised by Prof. Shan Cheng), and my M.S. and Ph.D. degrees in electrical engineering from North China Electric Power University, Beijing, China, in 2020 and 2024, respectively (supervised by Prof. Yingyun Sun).

My research interests include Power-Meteorology Coupling Modeling and Power-Carbon Collaborative Optimization.

Working Papers

1. Xiaochong Dong, Yingyun Sun, Yue Yang, Zhihang Mao. Controllable Renewable Energy Scenario Generation Based on Pattern Guided Diffusion Models. Applied Energy, Under Review.
2. Xiaochong Dong, Jun Dan, Yingyun Sun, Yang Liu, Xuemin Zhang, Shengwei Mei. Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model. CSEE Journal of Power and Energy Systems, Under Review.
3. Xiaochong Dong, Xuemin Zhang , Ming Yang, Shengwei Mei. STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind Power Forecasting. IEEE Transactions on Sustainable Energy, Under Review.
4. Xiaochong Dong, Xuemin Zhang, Yilin Liu, Shengwei Mei. A Data-driven Dynamic Temporal Correlation Modeling Framework for Renewable Energy Scenario Generation. IEEE Transactions on Sustainable Energy, Under Review.

Accepted Papers

2025

1. Xiaochong Dong, Yingyun Sun, Xuemin Zhang, Shengwei Mei. Short-term Wind Power Forecasting Based on Multi-task Learning with Shared Latent Space Mapping. CSEE Journal of Power and Energy Systems, 2025, early access.

2024

1. Xiaochong Dong, Yingyun Sun, Sarmad Majeed Malik,Tianjiao Pu, Ye Li, Xinying Wang. Scenario Reduction Network Based on Wasserstein Distance with Regularization. IEEE Transactions on Power Systems, 2024, 39(1):4-13.
2. Xiaochong Dong, Zhihang Mao, Yingyun Sun, Xinzhi Xu. Short-Term Wind Power Scenario Generation Based on Conditional Latent Diffusion Models. IEEE Transactions on Sustainable Energy, 2024, 15(2):1074-1085.

2023

1. Xiaochong Dong, Yingyun Sun, Lei Dong, Jian Li, Yan Li, Lei Di. Transferable Wind Power Probabilistic Forecasting Based on Multi-Domain Adversarial Networks. Energy, 2023, 285:129496.

2022

1. Xiaochong Dong, Yingyun Sun, Ye Li, Xinying Wang, Tianjiao Pu. Spatio-Temporal Convolutional Network Based Power Forecasting for Multiple Wind Farms. Journal of Modern Power Systems and Clean Energy, 2022, 10(2):388-398.