A Multi-Scale Electricity Consumption Prediction Algorithm Based on Time-Frequency Variational Autoencoder. - Kaihong Zheng; Peng Li; Shangli Zhou; Wenhan Zhang; Sheng Li; Lukun Zeng; Yingnan Zhang (IEEE Access, 2021)

Named Entity Recognition in Electric Power Metering Domain Based on Attention Mechanism. - Kaihong Zheng; Lingyun Sun; Xin Wang; Shangli Zhou; Hanbin Li; Sheng Li; Lukun Zeng; Qihang Gong (IEEE Access, 2021)

Multivariate Extreme Learning Machine Based AutoEncoder for Electricity Consumption Series Clustering. - Kaihong Zheng; Jingfeng Yang; Qihang Gong; Shangli Zhou; Lukun Zeng; Sheng Li (IEEE Access, 2021)

Constructing Bi-Order-Transformer-CRF With Neural Cosine Similarity Function for Power Metering Entity Recognition. - Kaihong Zheng; Jingfeng Yang; Lukun Zeng; Qihang Gong; Sheng Li; Shangli Zhou (IEEE Access, 2021)

A Knowledge Graph Embedding Framework With Triple Semantics. - Yan Wang; Honghao Liang; Kaihong Zheng; Jingfeng Yang; Lukun Zeng; Qihang Gong; Sheng Li; Shangli Zhou (IEEE Access, 2023)

Metering Automation System 3.0 Base Version Based on Machine Learning. - Sheng Li; Leping Zhang; Hang Dai; Lukun Zeng; Yuan Ai; Shuang Qi; Yuanzhai Cui (IEEE Access, 2025)