Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation

R Gao, X Zhang, M Liang, PN Suganthan… - Applied Soft Computing, 2025 - Elsevier
Wave energy, a promising renewable energy source, has the potential to diversify the global
energy mix significantly. Accurate forecasting of significant wave height (SWH) is crucial for …

A fast, high-precision deep learning model for regional wave prediction

Y Liu, L Huang, X Ma, L Zhang, J Fan, Y Jing - Ocean Engineering, 2023 - Elsevier
Accurate prediction of regional significant wave height is crucial for safe ship navigation,
route planning, and reducing carbon emissions from shipping. Physics-based wave …

Monthly-scale hydro-climatic forecasting and climate change impact evaluation based on a novel DCNN-Transformer network

H Yang, Z Zhang, X Liu, P Jing - Environmental Research, 2023 - Elsevier
Climate change has emerged as one of the foremost global challenges confronting
humanity today, leading to a heightened frequency and intensity of extreme weather …

[HTML][HTML] Significant wave height prediction through artificial intelligent mode decomposition for wave energy management

Y Chen, D Zhang, X Li, Y Peng, C Wu, H Pu, D Zhou… - Energy and AI, 2023 - Elsevier
The prediction of significant wave height (SWH) is crucial for managing wave energy. While
many machine learning studies have focused on accurately predicting SWH values within …

A machine-learning approach based on attention mechanism for significant wave height forecasting

J Shi, T Su, X Li, F Wang, J Cui, Z Liu… - Journal of Marine Science …, 2023 - mdpi.com
Significant wave height (SWH) is a key parameter for monitoring the state of waves. Accurate
and long-term SWH forecasting is significant to maritime shipping and coastal engineering …

An oil production prediction approach based on variational mode decomposition and ensemble learning model

J Fang, Z Yan, X Lu, Y Xiao, Z Zhao - Computers & Geosciences, 2024 - Elsevier
Well production forecasting can provide scientific guidance for oilfield production and
management, which is an indispensable part of the oilfield development process. In this …

Study on prediction of ocean effective wave height based on hybrid artificial intelligence model

Q Huang, Z Cui - Ocean Engineering, 2023 - Elsevier
Accurate and effective wave height prediction plays a crucial role in harnessing marine
energy, ensuring navigation safety, mitigating and preventing disasters, advancing scientific …

A machine‐learning and data assimilation forecasting framework for surface waves

P Pokhrel, M Abdelguerfi, E Ioup - Quarterly Journal of the …, 2024 - Wiley Online Library
In this article, we combine deep symbolic regression (DSR) and ensemble optimal
interpolation‐based data assimilation (DA) methods to correct the error in forecasts from the …

Short-term prediction of water level based on deep learning in the downstream area of the Three Gorges Reservoir

X Mao, B Xiong, X Luo, Z Yao, Y Huang - Natural Hazards, 2024 - Springer
Accurately predicting river water levels is crucial for managing water resources and
controlling floods. In this study, we propose a water level prediction model based on a deep …

Bio-multisensory-inspired gate-attention coordination model for forecasting short-term significant wave height

H Wu, XZ Gao, JN Heng - Energy, 2024 - Elsevier
Accurate forecasting of significant wave heights (SWH) plays an important role in the
generation and conversion of ocean wave energy, being a promising clean energy source …