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)

Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting. - Wenlong Liao; Fernando Porté-Agel; Jiannong Fang; Birgitte Bak-Jensen; Zhe Yang 007; Gonghao Zhang (CoRR, 2023)

Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors. - Yangze Zhou; Guoxin Lin; Gonghao Zhang; Yi Wang (CoRR, 2025)