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收藏Carbon emissions trading price forecasting based on temporal-spatial multidimensional collaborative attention network and segment imbalance regression
Yin, Hao; Yin, Yiding; Li, Hanhong; Zhu, Jianbin; Xian, Zikang; Tang, Yanshu; Xiao, Liexi; Rong, Jiayu; Li, Chen; Zhang, Haitao; Xie, Zhifeng; Meng, Anbo
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收藏An adaptive distribution-matched recurrent network for wind power prediction using time-series distribution period division
Meng, Anbo; Zhang, Haitao; Dai, Zhongfu; Xian, Zikang; Xiao, Liexi; Rong, Jiayu; Li, Chen; Zhu, Jianbin; Li, Hanhong; Yin, Yiding; Liu, Jiawei; Tang, Yanshu; Zhang, Bin; Yin, Hao
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收藏Solving large-scale combined heat and power economic dispatch problems by using deep reinforcement learning based crisscross optimization algorithm基于深度强化学习的纵横交错优化算法求解大规模热电联供经济调度问题
Meng, Anbo; Rong, Jiayu; Yin, Hao; Luo, Jianqiang; Tang, Yanshu; Zhang, Haitao; Li, Chen; Zhu, Jianbin; Yin, Yiding; Li, Hanhong; Liu, Jiawei
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收藏Optimal scheduling of integrated energy system using decoupled distributed CSO with opposition-based learning and neighborhood re-dispatch strategy
Meng, Anbo; Wu, Zhenbo; Zhang, Zhan; Xu, Xuancong; Tang, Yanshu; Xie, Zhifeng; Xian, Zikang; Zhang, Haitao; Luo, Jianqiang; Wang, Yu; Yan, Baiping; Yin, Hao
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收藏An adaptive variational mode decomposition for wind power prediction using convolutional block attention deep learning network基于卷积块注意力深度学习网络的自适应变分模态分解风电功率预测
Meng, Anbo; Xie, Zhifeng; Luo, Jianqiang; Zeng, Ying; Xu, Xuancong; Li, Yidian; Wu, Zhenbo; Zhang, Zhan; Zhu, Jianbin; Xian, Zikang; Li, Chen; Yan, Baiping; Yin, Hao
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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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