A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave
In 2018, Europe experienced one of the most severe heatwaves ever recorded. This
extreme event's impact on lake surface water temperature (LSWT) in Polish lakes has …
extreme event's impact on lake surface water temperature (LSWT) in Polish lakes has …
Spatial-temporal wave height forecast using deep learning and public reanalysis dataset
A novel data-driven model is proposed for efficient spatial–temporal significant wave height
forecast in West Pacific using deep learning. A multivariate 3-layer LSTM-based architecture …
forecast in West Pacific using deep learning. A multivariate 3-layer LSTM-based architecture …
Reconstruction of nearshore wave fields based on physics-informed neural networks
This paper focuses on utilizing physics-informed neural networks (PINNs) to model
nearshore wave transformation. The nearshore wave nets (NWnets), which integrate the …
nearshore wave transformation. The nearshore wave nets (NWnets), which integrate the …
A novel multivariable hybrid model to improve short and long-term significant wave height prediction
J Pang, S Dong - Applied Energy, 2023 - Elsevier
Accurate significant wave height (Hs) prediction is crucial for marine renewable energy
development. The hybrid models combining multi-resolution analysis techniques such as …
development. The hybrid models combining multi-resolution analysis techniques such as …
Estimation of a battery electric vehicle output power and remaining driving range under subfreezing conditions
This manuscript proposes a hybrid machine learning approach to estimate the battery output
power and remaining driving range in a battery electric vehicle (BEV). These two metrics are …
power and remaining driving range in a battery electric vehicle (BEV). These two metrics are …
Wave data prediction with optimized machine learning and deep learning techniques
Abstract Maritime Autonomous Surface Ships are in the development stage and they play an
important role in the upcoming future. Present generation ships are semi-autonomous and …
important role in the upcoming future. Present generation ships are semi-autonomous and …
Data-driven modeling of wind waves in upper Delaware Bay with living shorelines
Living shoreline projects have been built to preserve coastal ecosystems under future
climate change and sea level rise. To quantify the wave power variation across living …
climate change and sea level rise. To quantify the wave power variation across living …
Wave field predictions using a multi-layer perceptron and decision tree model based on physical principles: A case study at the Pearl River Estuary
Y Luo, H Shi, Z Zhang, C Zhang, W Zhou, G Pan… - Ocean …, 2023 - Elsevier
In this study, a novel data-driven model is proposed for efficient spatial–temporal forecasting
of the significant wave height (SWH), mean wave period (MWP), and mean wave direction …
of the significant wave height (SWH), mean wave period (MWP), and mean wave direction …
A prediction model of significant wave height in the south china sea based on attention mechanism
P Hao, S Li, C Yu, G Wu - Frontiers in Marine Science, 2022 - frontiersin.org
Significant wave height (SWH) prediction plays an important role in marine engineering
fields such as fishery, exploration, power generation, and ocean transportation. Traditional …
fields such as fishery, exploration, power generation, and ocean transportation. Traditional …
Prediction of near-field uni-directional and multi-directional random waves from far-field measurements with artificial neural networks
T Le Quang, MH Dao, X Lu - Ocean Engineering, 2023 - Elsevier
Predictions of several minutes of phase-resolved waves ahead of time from the
measurements of wave-time-series at upstream locations are important for many marine …
measurements of wave-time-series at upstream locations are important for many marine …