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收藏A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN一种新的基于时间序列GAN的多梯度进化深度学习方法,用于风电功率预测
Meng, Anbo; Zhang, Haitao; Yin, Hao; Xian, Zikang; Chen, Shu; Zhu, Zibin; Zhang, Zheng; Rong, Jiayu; Li, Chen; Wang, Chenen; Wu, Zhenbo; Deng, Weisi; Luo, Jianqiang; Wang, Xiaolin
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收藏A novel network training approach for solving sample imbalance problem in wind power prediction
Meng, Anbo; Xian, Zikang; Yin, Hao; Luo, Jianqiang; Wang, Xiaolin; Zhang, Haitao; Rong, Jiayu; Li, Chen; Wu, Zhenbo; Xie, Zhifeng; Zhang, Zhan; Wang, Chenen; Chen, Yingjun
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收藏A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine
Meng, Anbo; Zhu, Zibin; Deng, Weisi; Ou, Zuhong; Lin, Shan; Wang, Chenen; Xu, Xuancong; Wang, Xiaolin; Yin, Hao; Luo, Jianqiang
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收藏Solving high-dimensional multi-area economic dispatch problem by decoupled distributed crisscross optimization algorithm with population cross generation strategy
Meng, Anbo; Xu, Xuancong; Zhang, Zhan; Zeng, Cong; Liang, Ruduo; Zhang, Zheng; Wang, Xiaolin; Yan, Baiping; Yin, Hao; Luo, Jianqiang
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