Zi Lin
Zi Lin
Northumbria University
No verified email
Title
Cited by
Cited by
Year
Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks
Z Lin, X Liu, M Collu
International Journal of Electrical Power & Energy Systems 118, 105835, 2020
222020
An enhanced stiffness model for elastic lines and its application to the analysis of a moored floating offshore wind turbine
Z Lin, P Sayer
Ocean Engineering 109, 444-453, 2015
102015
Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network
Z Lin, X Liu
Energy, 117693, 2020
92020
Assessment of wind turbine aero-hydro-servo-elastic modelling on the effects of mooring line tension via deep learning
Z Lin, X Liu
Energies 13 (9), 2264, 2020
72020
波浪对淹没垂直圆柱绕射解析解
姜胜超, 滕斌, 宁德志, 林子
海洋工程 28 (3), 68-75, 2010
62010
A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines
Z Lin, D Cevasco, M Collu
Applied Energy 259, 114228, 2020
32020
O&M cost-based FMECA: identification and ranking of the most critical components for 2-4 MW geared offshore wind turbines
D Cevasco, M Collu, Z Lin
Journal of Physics: Conference Series 1102 (1), 2018
32018
Progress on the Development of a Holistic Coupled Model of Dynamics for Offshore Wind Farms: Phase I—Aero-Hydro-Servo-Elastic Model, With Drive Train Model, for a Single Wind …
Z Lin, D Cevasco, M Collu
International Conference on Offshore Mechanics and Arctic Engineering 51319 …, 2018
32018
Influence of water depth variation on the hydrodynamics of deep-water mooring characteristics
Z Lin, P Sayer
Ocean Engineering 109, 553-566, 2015
32015
Investigation on PTO control of a Combined Axisymmetric Buoy-WEC (CAB-WEC)
F Kong, W Su, H Liu, M Collu, Z Lin, H Chen, X Zheng
Ocean Engineering 188, 106245, 2019
22019
A Hydrodynamic Study of Deepwater Mooring Characteristics
Z Lin, P Sayer
The Twenty-fourth International Ocean and Polar Engineering Conference, 2014
22014
A Critical Review of Wind Power Forecasting Methods—Past, Present and Future
S Hanifi, X Liu, Z Lin, S Lotfian
Energies 13 (15), 3764, 2020
12020
Technology Drivers in Windfarm Asset Management
M Barnes, K Brown, J Carmona, D Cevasco, M Collu, C Crabtree, ...
Home Offshore, 2018
12018
Prediction of two-phase flow patterns in upward inclined pipes via deep learning
Z Lin, X Liu, L Lao, H Liu
Energy 210, 118541, 2020
2020
Systematic Investigation of Integrating Small
Z Lin, X Liu, Z Feng
by: MDPI, 2020
2020
A Critical Review of Wind
S Hanifi, X Liu, Z Lin, S Lotfian
by: MDPI, 2020
2020
Systematic investigation of integrating small wind turbines into power supply for hydrocarbon production
Z Lin, X Liu, Z Feng
Energies 13 (12), 3243, 2020
2020
Systematic Assessment of Using Small Wind Turbines to Power Remote Oil Extraction in China
Z Lin, X Liu
2019
Sustainable Development of Decommisioned FPSO as a Floating Solar Plant–Case Study of the Effects of Tilt Angle on Energy Efficiency
Z Lin, X Liu
2019
Identifying the Major Contributing Factors for Fowt Mooring Line Tension Using Artificial Neural Network
Z Lin, X Liu
2019
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Articles 1–20