A novel measure of attribute significance with complexity weight. - Jinfu Liu; Mingliang Bai; Na Jiang; Daren Yu (Appl. Soft Comput., 2019)

Structural risk minimization of rough set-based classifier. - Jinfu Liu; Mingliang Bai; Na Jiang; Daren Yu (Soft Comput., 2020)

Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation. - Mingliang Bai; Xinyu Zhao; Zhenhua Long; Jinfu Liu; Daren Yu (CoRR, 2021)

Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power. - Mingliang Bai; Yunxiao Chen; Xinyu Zhao; Jinfu Liu; Daren Yu (Expert Syst. Appl., 2022)

Deep attention convolutional neural network-based adaptive multi-source information fusion for accurate short-term photovoltaic power forecast. - Mingliang Bai; Yunxiao Chen; Zhihao Zhou; Zhenhua Long; Jinfu Liu; Daren Yu (ISGT EUROPE, 2023)

HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field. - Mingliang Bai; Zhihao Zhou; Ruidong Wang; Yusheng Yang; Zizhen Qin; Yunxiao Chen; Chunjin Mu; Jinfu Liu; Daren Yu (CoRR, 2023)

Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data. - Mingliang Bai; Zhihao Zhou; Yunxiao Chen; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

Multivariable space-time correction for wind speed in numerical weather prediction (NWP) based on ConvLSTM and the prediction of probability interval. - Yunxiao Chen; Mingliang Bai; Yilan Zhang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

Error revision during morning period for deep learning and multi-variable historical data-based day-ahead solar irradiance forecast: towards a more accurate daytime forecast. - Yunxiao Chen; Mingliang Bai; Yilan Zhang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2023)

ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting. - Yanfei Xiang; Weixin Jin; Haiyu Dong; Mingliang Bai; Zuliang Fang; Pengcheng Zhao; Hongyu Sun; Kit Thambiratnam; Qi Zhang; Xiaomeng Huang (CoRR, 2024)

Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power. - Mingliang Bai; Zhihao Zhou; Jingjing Li; Yunxiao Chen; Jinfu Liu; Xinyu Zhao; Daren Yu (Expert Syst. Appl., 2024)

Deep multi-attribute spatial-temporal graph convolutional recurrent neural network-based multivariable spatial-temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power. - Mingliang Bai; Guowen Zhou; Peng Yao; Fuxiang Dong 002; Yunxiao Chen; Zhihao Zhou; Xusheng Yang; Jinfu Liu; Daren Yu (Expert Syst. Appl., 2025)

Improved multiple penalty mechanism based loss function for more realistic aeroengine RUL advanced prediction. - Chaojing Lin; Yunxiao Chen; Mingliang Bai; Zhenhua Long; Peng Yao; Jinfu Liu; Daren Yu (Reliab. Eng. Syst. Saf., 2025)

Deep multivariable spatial attention CNN-based spatial grid NWP error correction for accurate one-day-ahead photovoltaic power forecast. - Mingliang Bai; Ruidong Wang; Chaojing Lin; Yunxiao Chen; Fuxiang Dong 002; Zhihao Zhou; Xusheng Yang; Jinfu Liu; Daren Yu (Earth Sci. Informatics, 2025)