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    Zeros-MTL-CLDBN: A Robust Multitask Deep-Learning Framework via Deep-Belief Network with Correntropy Loss for Ultrashort-Term Multistep Wind Power Forecasting 

    Source: Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 004:;page 04026028-1
    Author(s): Ma, Wentao; Dai, Jiahui; Chen, Xi; Dong, Yuzhuo
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate ultrashort-term multistep wind power forecasting (WPF) remains a critical challenge in renewable energy systems due to the inherent stochasticity, non-Gaussian fluctuations, and volatility of wind energy. ...
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    Enhanced Joint Estimation of State of Charge and State of Power for Lithium-Ion Batteries Using a Gated Recurrent Unit–Transformer Model With Multiple Input Features 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2026:;volume( 023 ):;issue:001:;page 63
    Author(s): Ren, Shizhuo; Ma, Wentao; Li, Zhuo; Guo, Peng; Zhu, Mengjie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. The estimated results of the state of charge (SOC) for lithium-ion (Li-ion) batteries obtained using conventional data-driven methods often exhibit significant fluctuations that pose challenges in accurately ...
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    Seasonal and Interannual Variability of Fronts and Their Impact on Chlorophyll-a in the Indonesian Seas 

    Source: Journal of Physical Oceanography:;2023:;volume( 053 ):;issue: 012:;page 2847
    Author(s): Zhang, Hao-Ran; Yu, Yi; Gao, Zhibin; Zhang, Yanwei; Ma, Wentao; Yang, Dezhou; Yin, Baoshu; Wang, Yuntao
    Publisher: American Meteorological Society
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