Aug. 27, 2024: Congratulations! Our paper “Improving Model Generalization for Short-Term Customer Load Forecasting with Causal Inference” has been accepted by IEEE Transactions on Smart Grid.

May 16, 2024: I have passed the Qualifying Examination (QE) and Thesis Proposal Assessment (TPA), and became a Ph.D. candidate. Keep working hard!

Mar. 25, 2024: I will visit the Electrical Energy Systems and Applications group at KU Leuven from Aug. 2024 and work with Prof. Geert Deconinck.

Feb. 22, 2024: Congratulations! Our paper “When Pre-Training Model Meets Smart Meter Data Applications: A Preliminary Trial of General Way” has been accepted by 2024 IEEE Power & Energy Society General Meeting (PESGM). I will give the oral presentation at 2024 IEEE PESGM held July 21–25 2024 in Seattle, Washington.

Feb. 8, 2024: Congratulations! Our paper “Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models” has been accepted by IEEE Transactions on Smart Grid.

Dec. 21, 2023: Congratulations! Our paper “Customer Baseline Load Estimation for Virtual Power Plants in Demand Response: An Attention Mechanism-Based Generative Adversarial Networks Approach” has been accepted by Applied Energy.

Dec. 19, 2022: Congratulations! Our paper “Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning” has been accepted by IEEE Transactions on Smart Grid.

Nov. 13, 2022: Great news! We have received the Best Paper Award at the 6th IEEE Conference on Energy Internet and Energy System Integration (EI2). Check the news!

Sept. 20, 2022: Congratulations! Our paper “Consumer Baseline Load Estimation in Demand Response: A Generative Adversarial Networks Approach” has been accepted by the 6th IEEE Conference on Energy Internet and Energy System Integration (EI2). I will give the oral presentation at IEEE EI2 2022 held Nov 11–13, 2022 in Chengdu, China.

Oct. 21, 2021: Great news! We have won the First Prize and the only Best Innovation Award at the 2021 Contest of AI Application in Power Dispatching organized by China Southern Power Grid. Check the news!

Aug. 2, 2021: I am going to start my Ph.D. study career at University of Macau. Good luck to me!

Journal Papers (with Preprints)

1. Zhenyi Wang, Hongcai Zhang, Ruixiong Yang, and Yong Chen, “Improving Model Generalization for Short-Term Customer Load Forecasting With Causal Inference,” IEEE Transactions on Smart Grid, 2024 (Early Access).  PDF  DOI  Cite
2. Zhenyi Wang, and Hongcai Zhang, “Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models,” IEEE Transactions on Smart Grid, vol. 15, no. 4, pp. 4259–4270, 2024.  PDF  DOI  Cite
3. Zhenyi Wang, and Hongcai Zhang, “Customer Baseline Load Estimation for Virtual Power Plants in Demand Response: An Attention Mechanism-Based Generative Adversarial Networks Approach,” Applied Energy, vol. 357, p. 122544, 2024.  PDF  DOI  Cite
4. Zhenyi Wang, Peipei Yu, and Hongcai Zhang, “Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning,” IEEE Transactions on Smart Grid, vol. 14, no. 5, pp. 3535–3549, 2023.  PDF  DOI  Cite
5. Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, and Haizhou Wang, “Online Social Network Individual Depression Detection using A Multitask Heterogenous Modality Fusion Approach,” Information Sciences, vol. 609, pp. 727–749, 2022.  PDF  DOI  Cite

Conference Papers

1. Zhenyi Wang, Hongcai Zhang, Baorong Zhou, Wenmeng Zhao, and Tian Mao, “When Pre-Training Model Meets Smart Meter Data Applications: A Preliminary Trial of General Way,” to appear in 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024.
2. Zhenyi Wang, and Hongcai Zhang, “Consumer Baseline Load Estimation in Demand Response: A Generative Adversarial Networks Approach” in 2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2), pp. 1723–1728, 2022.  PDF  DOI  Cite
3. Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, and Haizhou Wang, “A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo,” in 2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), pp. 1–8, 2020.  PDF  DOI  Cite

Journal Reviewer

• IEEE Transactions on Smart Grid
• IEEE Transactions on Power Systems
• IEEE Transactions on Industrial Informatics
• IEEE Transactions on Information Forensics and Security
• IEEE Transactions on Dependable and Secure Computing
• Journal of Modern Power Systems and Clean Energy
• Applied Soft Computing
• IEEE Transactions on Industry Applications
• IET Smart Grid
• IEEE Power Engineering Letters
• Sustainable Energy Technologies and Assessments
• Security and Communication Networks

Conference Reviewer

• IEEE Power & Energy Society General Meeting (PESGM 2024)
• IEEE Global Communications Conference (GLOBECOM 2024)
• Conference on Neural Information Processing Systems (NeurIPS 2024)
• IEEE Student Conference on Electric Machines and Systems (SCEMS 2024)