... series prediction LSTM neural networks mode decomposition Bayesian optimization wind speed wave height artificial intelligence design optimization design theory and methodology machine learning multidisciplinary design and optimization wind energy While a digital twin (DT) has been...

... and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 09 07 2019 24 04 2020 28 04 2020 19 06 2020 agent-based design sustainable design wind energy Wind is an important resource in the US energy portfolio. Wind energy is responsible...

... Transmission and Gearing Committee of ASME for publication in the J ournal of M echanical D esign . 08 07 2019 15 10 2019 15 10 2019 18 10 2019 computer-aided engineering design of machine elements gear design wind energy Planets in planetary gearboxes have a unique...

...: Shapour Azarm. 28 09 2016 16 07 2017 Design automation Metamodeling Multidisciplinary design Wind energy Optimization Optimal design of dynamic systems is a challenging task, due in part to the computationally expensive system simulations involved. Moreover, dynamic system...

... there is. Research often aims to increase the amount of wind energy that converts to electrical power during partial load operation. The efficiency of this process depends on the ability of the system to track wind speed through variable rotor speed capability. Large wind turbines are generally equipped with power...

... to intelligent turbine layout could be even greater. References [1] Pineda , I. , Azau , S. , Moccia , J. , and Wilkes , J. , 2014 , “ Wind in Power, 2013 European Statistics ,” The European Wind Energy Association, Last accessed Jan. 8, 2015, http://www.ewea.org/fileadmin/files/library...

...Weiyang Tong; Souma Chowdhury; Ali Mehmani; Achille Messac; Jie Zhang References [1] European Wind Energy Association (EWEA) , 2009 , “ Wind Energy – The Facts: A Guide to the Technology, Economics and Future of Wind Power ,” Vol. I , Earthscan , Sterling, VA . [2] Méchali , M...