Investigation of wind turbine performance coupling wake and topography effects based on LiDAR measurements and SCADA data

Xiaoxia Gao(North China Electric Power University), Fei Zhao(North China Electric Power University), Tengyuan Wang(Chinese Academy of Sciences), Haiying Sun(Hong Kong Polytechnic University), Bingbing Li(California State University, Northridge), Yu Wang(South China Normal University), Hongxing Yang(Shanghai Medical College of Fudan University), Zhonghe Han(North China Electric Power University)
Applied Energy
September 17, 2019
10.1016/j.apenergy.2019.113816
Cited by 77

Related Papers

The recent progress on three-dimensional porous graphene-based hybrid structure for supercapacitor
|Composites Part B Engineering|2018|200
Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction
|Energy Exploration & Exploitation|2019|157
Thermoelectric mini cooler coupled with micro thermosiphon for CPU cooling system
|Energy|2015|126
Rotor fault diagnosis using a convolutional neural network with symmetrized dot pattern images
|Measurement|2019|111
Effect of Li doping on structure and superconducting transition temperature of Mg1−xLixB2
|Physica C Superconductivity|2001|90