Pengfei Zhao

According to our database, Pengfei Zhao authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Topology Change Aware Distributed State Estimation Based on Unsupervised Bipartite Graph-Enabled Causality-Inspired Sparse Learning.

Zhiping Lin, Weihao Hu, Di Cao, Pengfei Zhao, Sayed Abulanwar, Qi Huang, Zhe Chen

IEEE Trans. Ind. Informatics, April, 2026

Complementary Online Learning Network for Probabilistic Load Forecasting Against Extreme Weather.

Rui Huang, Pengfei Zhao, Di Cao, Weihao Hu, Qi Huang, Zhe Chen

IEEE Trans. Ind. Informatics, April, 2026

Anchor Graph-Based Subspace Clustering for Large-Scale Residential Load Profiling.

Zhiping Lin, Weihao Hu, Di Cao, Pengfei Zhao, Zhe Chen

IEEE Trans. Smart Grid, March, 2026

2025

A Novel Spatiotemporal Pyramidal Graph Modeling Approach for Short-Term Residential Load Forecasting.

Pengfei Zhao, Weihao Hu, Di Cao, Rui Huang, Xingtao Bai, Qi Huang, Zhe Chen

IEEE Trans. Ind. Informatics, September, 2025

Local Distribution Voltage Control Using Large-Scale Coordinated PV Inverters: A Novel Multi-Agent Deep Reinforcement Learning-Based Approach.

Yinfan Wang, Weihao Hu, Di Cao, Pengfei Zhao, Sayed Abulanwar, Zhe Chen, Frede Blaabjerg

IEEE Trans. Smart Grid, May, 2025

2024

Probabilistic Multienergy Load Forecasting Based on Hybrid Attention-Enabled Transformer Network and Gaussian Process-Aided Residual Learning.

Pengfei Zhao, Weihao Hu, Di Cao, Zhenyuan Zhang, Yuehui Huang, Longcheng Dai, Zhe Chen

IEEE Trans. Ind. Informatics, June, 2024

2021

Transfer Learning Featured Combining Short-Term Load Forecast with Small-Sample Conditions.

Zhenyuan Zhang, Pengfei Zhao, Peng Wang, Wei-Jen Lee

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021