Rank Load Forecasting Performances of Multiple Datasets. - Shu Liu; Dalin Qin; Yi Wang 022 (iSPEC, 2023)

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. - Wenlong Liao; Benjamin Schäfer 001; Dalin Qin; Gonghao Zhang; Zhixian Wang; Zhe Yang 007 (CoRR, 2023)

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. - Dalin Qin; Chenxi Wang; Qingsong Wen; Weiqi Chen; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2023)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. - Yifan Zhang 004; Weiqi Chen; Zhaoyang Zhu; Dalin Qin; Liang Sun 001; Xue Wang 010; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. - Dalin Qin; Yehui Li; Weiqi Chen; Zhaoyang Zhu; Qingsong Wen; Liang Sun 001; Pierre Pinson; Yi Wang 022 (CoRR, 2024)

Deciding When to Use a Personalized Model for Load Forecasting. - Dalin Qin; Qingsong Wen; Zhiqiang Zhou; Liang Sun 001; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Lightweight Federated Learning for On-Device Non-Intrusive Load Monitoring. - Yehui Li; Ruiyang Yao; Dalin Qin; Yi Wang 022 (IEEE Trans. Smart Grid, 2025)

Large Language Model-Empowered Interactive Load Forecasting. - Yu Zuo; Dalin Qin; Yi Wang (CoRR, 2025)