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Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission 期刊论文
Energy Policy, 2021, 卷号: 150
作者:  Xiao J.;  Li G.;  Xie L.;  Wang S.;  Yu L.
收藏  |  浏览/下载：47/0  |  提交时间：2021/09/01
Cross-regional power transmission  Decarbonization  Power sector  Structural optimization  Technology learning curve  
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 期刊论文
, 2020, 卷号: 138
作者:  Santos J.E.;  Xu D.;  Jo H.;  Landry C.J.;  Prodanović M.;  Pyrcz M.J.
收藏  |  浏览/下载：28/0  |  提交时间：2020/07/28
Binary images  Convolution  Deep learning  Deep neural networks  Flow fields  Flow of fluids  Forecasting  Learning systems  Mechanical permeability  Network architecture  Porous materials  Velocity  Disruptive technology  Fluid velocity field  Geometrical informations  Machine learning models  Orders of magnitude  Spatial relationships  Subsurface formations  Surrogate model  Convolutional neural networks  artificial neural network  digital image  flow modeling  fluid flow  permeability  porous medium  prediction  rock mechanics  surrogate method  three-dimensional modeling  
Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers 期刊论文
Energy Policy, 2020, 卷号: 147
作者:  Elia A.;  Taylor M.;  Ó Gallachóir B.;  Rogan F.
收藏  |  浏览/下载：47/0  |  提交时间：2021/09/01
Bottom-up cost model  Innovation drivers  Onshore wind technology  Technology innovation  Technology learning