校内登录
祝贺王倩月博士在Journal of Renewable and Sustainable Energy发表论文
发布时间：2024-01-11
由王倩月、司刚全、曲凯、山子涵、巩甲辉、杨晨撰写的论文“Integrating spatio-positional series attention to deep network for multi-turbine short-term wind power prediction”在国际期刊Journal of Renewable and Sustainable Energy（2023影响因子：1.9）录用并发表。该论文提出了一种名为SPSA-LSTM的新型模型，结合了空间位置信息、自注意力机制和LSTM网络，提高了多风机场景下的短期风电功率预测精度。
论文引用信息：Wang QY, SI GQ, Qu K, Shan ZH, Gong JH, Yang C. Integrating spatio-positional series attention to deep network for multi-turbine short-term wind power prediction. Journal of Renewable and Sustainable Energy. 2024, 126.
doi: https://doi.org/10.1063/5.0187227
