Economic development and the comfort-loving nature of human beings in recent years have
resulted in increased energy demand. Since energy resources are scarce and should be …

Installed capacities of wind and solar power have grown rapidly over recent years, and the
pool of literature on very short-term (minutes-to hours-ahead) wind and solar forecasting has …

Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …

With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …

The smart grid is enabling the collection of massive amounts of high-dimensional and multi-
type data about the electric power grid operations, by integrating advanced metering …

This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Effective wind power prediction will facilitate the world's long-term goal in sustainable
development. However, a drawback of wind as an energy source lies in its high variability …

Understanding the spatial variation of the levelised cost of energy (LCOE) of offshore wind is
fundamental for identifying potential areas for the development of this technology. With this …

The largest obstacle that suppresses the increase of wind power penetration within the
power grid is uncertainties and fluctuations in wind speeds. Therefore, accurate wind power …