As renewable energy becomes increasingly popular in the global electric energy grid,
improving the accuracy of renewable energy forecasting is critical to power system planning …

Ocean energy technologies are in their developmental stages, like other renewable energy
sources. To be useable in the energy market, most components of wave energy devices …

Wave power plants (WPPs) hold significant promise for sustainable energy generation but
face complex challenges in site selection and wave forecasting. To address these …

Renewable energy (RE) offers major environmental and economic benefits compared to
nuclear and fuel-based energy; however, the data used for RE include significant …

We present a new deep learning training framework for forecasting significant wave height
on the Southwestern Atlantic Ocean. We use the long short-term memory algorithm (LSTM) …

Wave energy forecasting modeling is critical for promoting renewable energy storage
technology as well as for energy sustainability and global carbon neutrality goals. However …

Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

Significant wave height prediction for the following hours is a necessity for the planning and
operation of wave energy devices. For a site-specific and short-term prediction, classical …

This paper focuses on utilizing physics-informed neural networks (PINNs) to model
nearshore wave transformation. The nearshore wave nets (NWnets), which integrate the …

Probabilistic modelling and statistical analysis of environmental conditions is important for
the design and assessment of ships and other marine structures. It will give a necessary …