1.Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks

Wang, Jianzhou, Kou,     More...

Wang, Jianzhou, Kou, Menggang, Li, Runze, Qian, Yuansheng, Li, Zhiwu     Less

Advanced Engineering Informatics[1474-0346], Published 2025, Volume 65,

收錄情况： WOS SCOPUS

WOS核心合集引用: 41  2025影響因子:  11.5  发表年影響因子:  11.5 

2.A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system

Yang, WD, Zhang, H,     More...

Yang, WD, Zhang, H, Wang, JZ, Hao, Y     Less

ADVANCED ENGINEERING INFORMATICS[1474-0346], Published 2025, Volume 65,

收錄情况： WOS SCOPUS

WOS核心合集引用: 9  2025影響因子:  11.5  发表年影響因子:  11.5 

3.Adapting to drift: Weather-pattern experts for short-term photovoltaic power forecasting

Wang, WT, Lu, HY, Ub     More...

Wang, WT, Lu, HY, Ubaid, A, Yang, FY, Yu, RY, Wang, JZ     Less

ADVANCED ENGINEERING INFORMATICS[1474-0346], Published 2026, Volume 74,

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WOS核心合集引用: 2  2025影響因子:  11.5 

4.MF-2SC-QSQFPS: A two-stage dynamic ensemble framework for nonparametric probabilistic wind power forecasting using quadratic spline quantile function and mixed-frequency modeling

Yang, Y, Xing, QY, L     More...

Yang, Y, Xing, QY, Li, CH, Wang, S, Wang, K, Wang, JZ, Li, L     Less

ADVANCED ENGINEERING INFORMATICS[1474-0346], Published 2026, Volume 76,

收錄情况： WOS SCOPUS

WOS核心合集引用: 0  2025影響因子:  11.5