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 …
M Zolfaghari, MR Golabi - Renewable Energy, 2021 - Elsevier
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 …
P Malhan, M Mittal - Energy Conversion and Management, 2022 - Elsevier
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 …