The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …

This article presents a review of current advances and prospects in the field of forecasting
renewable energy generation using machine learning (ML) and deep learning (DL) …

An accurate solar energy forecast is of utmost importance to allow a higher level of
integration of renewable energy into the controls of the existing electricity grid. With the …

In the last few years, several countries have accomplished their determined renewable
energy targets to achieve their future energy requirements with the foremost aim to …

In recent years, the penetration of solar power at residential and utility levels has progressed
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …

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 …

Modern machine learning (ML) techniques are making inroads in every aspect of renewable
energy for optimization and model prediction. The effective utilization of ML techniques for …

Predicting electricity demand (G) is crucial for electricity grid operation and management. In
order to make reliable predictions, model inputs must be analyzed for predictive features …

Electricity is an important pillar for the economic growth and the development of societies.
Surveying and predicting the electricity production (EP) is a valuable factor in the hands of …

Power generation scenario modelling has become an integral part of long-term planning in
power system due to high penetration of variable renewable energy. It requires accurate …