Browsing NTNU Open by Author "Wu, Mengning"
Now showing items 1-6 of 6
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Assessment of allowable sea states for offshore wind turbine blade installation using time-domain numerical models and considering weather forecast uncertainty
Wu, Mengning; Gao, Zhen; Zhao, Yuna (Peer reviewed; Journal article, 2022)Installation of offshore wind turbines, particularly blades, is challenging and should be executed within the allowable limit of sea states to ensure the safety and the efficiency of installation. During the execution phase ... -
Methodology for developing a response-based correction factor (alpha-factor) for allowable sea state assessment of marine operations considering weather forecast uncertainty
Wu, Mengning; Gao, Zhen (Peer reviewed; Journal article, 2021)The concept of the alpha-factor, a correction factor on the significant wave height limit, was developed by DNV to consider the effect of weather forecast uncertainty in planning and executing marine operations. In this ... -
Multi-step-ahead forecasting of wave conditions based on a physics-based machine learning (PBML) model for marine operations
Wu, Mengning; Stefanakos, Christos; Gao, Zhen (Peer reviewed; Journal article, 2020)Short-term wave forecasts are essential for the execution of marine operations. In this paper, an efficient and reliable physics-based machine learning (PBML) model is proposed to realize the multi-step-ahead forecasting ... -
Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty
Wu, Mengning; Stefanakos, Christos; Gao, Zhen; Haver, Sverre Kristian (Journal article; Peer reviewed, 2019)Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via ... -
Prediction of Short-term Wind and Wave Conditions Using Adaptive Network-based Fuzzy Inference System (ANFIS) for Marine Operations
Wu, Mengning; Stefanakos, Christos; Gao, Zhen (Chapter, 2018)The paper focuses on prediction of short-term environmental conditions by using an improved ANFIS method for marine operations. The hindcast data used here consists of ten-year long one-hourly time series of mean wind speed ... -
Uncertainty of Machine Learning-Based Methods for Wave Forecast and its Effect on Installation of Offshore Wind Turbines
Wu, Mengning (Doctoral theses at NTNU;2021:325, Doctoral thesis, 2021)Marine operations, such as offshore lifting and mating, are complex and highly weather-sensitive. When planning these weather-restricted opera-tions, it is necessary to determine the response-based operational limits in ...