One of the most major agendas to mitigate climate change is the transition to low-carbon
energy extraction. Furthermore, develo** cutting-edge prototypes for wearable …

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 …

Accurate load forecasting is helpful for optimizing the use of power resources. To this end,
this investigation proposes a hybrid model for short-term load forecasting, namely the RF …

This paper develops a novel short-term load forecasting model that hybridizes several
machine learning methods, such as support vector regression (SVR), grey catastrophe (GC …

Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …

Accurate predictions of significant wave heights are important for a number of maritime
applications, such as design of coastal and offshore structures. In the present study, an …

Previous studies based on remote sensing data and reanalysis have identified strong
historical increments of wind speed in the area around the Canary Islands (Spain) without …

In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …

Ocean waves are widely estimated using physics-based computational models, which
predict how energy is transferred from the wind, dissipated, and transferred spatially across …

Wind and wave energy have substantial potential as renewable sources of electricity. With
the development of various power-generating options, wind and wave energy are expected …