Mapping high-resolution XCO2 concentrations in China from 2015 to 2020 based on spatiotemporal ensemble learning model. - Weican Liu; Rong Li; Jun Cao; Congwu Huang; Fan Zhang; Meigen Zhang (Ecol. Informatics, 2024)

Ensemble learning unlocking point load forecasting accuracy: A novel framework based on two-stage data preprocessing and improved multi-objective optimisation strategy. - Jingmin Luan; Qiyang Li; Yuyan Qiu; Weican Liu (Comput. Electr. Eng., 2025)

Enhancing accuracy in point-interval load forecasting: A new strategy based on data augmentation, customized deep learning, and weighted linear error correction. - Weican Liu; Zhirui Tian; Yuyan Qiu (Expert Syst. Appl., 2025)

EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion. - Hang Fan; Yunze Chai; Chenxi Liu; Weican Liu; Zuhan Zhang; Wencai Run; Dunnan Liu (CoRR, 2025)

IDS-Net: A novel framework for few-shot photovoltaic power prediction with interpretable dynamic selection and feature information fusion. - Hang Fan; Weican Liu; Zuhan Zhang; Ying Lu; Wencai Run; Dunnan Liu (CoRR, 2025)

M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model. - Hang Fan; Mingxuan Li; Zuhan Zhang; Long Cheng 003; Yujian Ye; Weican Liu; Dunnan Liu (Inf. Fusion, 2026)