Items where Author is "Lin, Zi"

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Number of items: 19.

Article

Zhang, Wanqing, Lin, Zi and Liu, Xiaolei (2022) Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and deep-learning-based Long Short-Term Memory (LSTM). Renewable Energy, 185. pp. 611-628. ISSN 0960-1481

Li, Tenghui, Liu, Xiaolei, Lin, Zi and Morrison, Rory (2022) Ensemble offshore Wind Turbine Power Curve modelling – An integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm. Energy, 239 (Part D). p. 122340. ISSN 0360-5442

Morrison, Rory, Liu, Xiaolei and Lin, Zi (2022) Anomaly detection in wind turbine SCADA data for power curve cleaning. Renewable Energy, 184. pp. 473-486. ISSN 0960-1481

Trizoglou, Pavlos, Liu, Xiaolei and Lin, Zi (2021) Fault detection by an ensemble framework of Extreme Gradient Boosting (XGBoost) in the operation of offshore wind turbines. Renewable Energy, 179. pp. 945-962. ISSN 0960-1481

Liu, Weiqi, Shi, Jian, Chen, Hailong, Liu, Hengxu, Lin, Zi and Wang, Lingling (2021) Lagrangian actuator model for wind turbine wake aerodynamics. Energy, 232. p. 121074. ISSN 0360-5442

Liu, Xiaolei and Lin, Zi (2021) Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. Energy, 227. p. 120455. ISSN 0360-5442

Liu, Xiaolei, Lin, Zi and Feng, Ziming (2021) Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM. Energy, 227. p. 120492. ISSN 0360-5442

Lin, Zi, Liu, Xiaolei and Lotfian, Saeid (2021) Impacts of water depth increase on offshore floating wind turbine dynamics. Ocean Engineering, 224. p. 108697. ISSN 0029-8018

Kisvari, Adam, Lin, Zi and Liu, Xiaolei (2021) Wind power forecasting – A data-driven method along with gated recurrent neural network. Renewable Energy, 163. pp. 1895-1909. ISSN 0960-1481

Lin, Zi, Liu, Xiaolei, Lao, Liyun and Liu, Hengxu (2020) Prediction of two-phase flow patterns in upward inclined pipes via deep learning. Energy, 210. p. 118541. ISSN 0360-5442

Hanifi, Shahram, Liu, Xiaolei, Lin, Zi and Lotfian, Saeid (2020) A Critical Review of Wind Power Forecasting Methods—Past, Present and Future. Energies, 13 (15). p. 3764. ISSN 1996-1073

Lin, Zi, Liu, Xiaolei and Feng, Ziming (2020) Systematic Investigation of Integrating Small Wind Turbines into Power Supply for Hydrocarbon Production. Energies, 13 (12). p. 3243. ISSN 1996-1073

Lin, Zi and Liu, Xiaolei (2020) Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network. Energy, 201. p. 117693. ISSN 0360-5442

Lin, Zi, Liu, Xiaolei and Collu, Maurizio (2020) Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks. International Journal of Electrical Power & Energy Systems, 118. p. 105835. ISSN 0142-0615

Lin, Zi and Liu, Xiaolei (2020) Assessment of Wind Turbine Aero-Hydro-Servo-Elastic Modelling on the Effects of Mooring Line Tension via Deep Learning. Energies, 13 (9). p. 2264. ISSN 1996-1073

Lin, Zi, Cevasco, Debora and Collu, Maurizio (2020) A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines. Applied Energy, 259. p. 114228. ISSN 0306-2619

Kong, Fankai, Su, Weiming, Liu, Hengxu, Collu, Maurizio, Lin, Zi, Chen, Hailong and Zheng, Xiongbo (2019) Investigation on PTO control of a Combined Axisymmetric Buoy-WEC(CAB-WEC). Ocean Engineering, 188. p. 106245. ISSN 0029-8018

Lin, Zi and Sayer, P. (2015) Influence of water depth variation on the hydrodynamics of deep-water mooring characteristics. Ocean Engineering, 109. pp. 553-566. ISSN 0029-8018

Lin, Zi and Sayer, Philip (2015) An enhanced stiffness model for elastic lines and its application to the analysis of a moored floating offshore wind turbine. Ocean Engineering, 109. pp. 444-453. ISSN 0029-8018

This list was generated on Fri Apr 19 18:32:34 2024 UTC.