机译:用于短期供应变化的道路网络稳健性分析的框架
TNO, Van Mourik Broekmanweg 6, P.O. Box 49, 2600 AA Delft, The Netherlands,Delft University of Technology, Faculty of Civil Engineering and Ceosciences, Department of Transport and Planning, P.O. Box 5048,2600 CA Delft, The Netherlands,TRAIL Research School, Kluyverweg 4, P.O.Box 5017, 2600 CA Delft, The Netherlands;
Delft University of Technology, Faculty of Civil Engineering and Ceosciences, Department of Transport and Planning, P.O. Box 5048,2600 CA Delft, The Netherlands,TRAIL Research School, Kluyverweg 4, P.O.Box 5017, 2600 CA Delft, The Netherlands,Hunan University, Faculty Civil Engineering, Changsha, PR China;
TRAIL Research School, Kluyverweg 4, P.O.Box 5017, 2600 CA Delft, The Netherlands,Catholic University ofLeuven, CIB, Traffic & Infrastructure, Celestijnenlaan 300A B-3001, Belgium;
robustness; vulnerability; reliability; definitions; indicators; evaluation method;
机译:利用深复发性神经网络稳健的短期电负荷预测框架
机译:贝叶斯优化算法基于变分模式分解和考虑相关因素的长短期记忆网络的混合短期负荷预测模型
机译:道路网络扩展利用Landsat Time-Series和基于对象图像分析导致的森林损失,分段和降解的长期变化的新分析方法
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机译:深度学习短期网络广播道路交通预测
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机译:用于短期供应变化的道路网络稳健性分析的框架