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 …

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) …

With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

In order to achieve high precision ultra-short-term prediction of wind power, a new ultra-short-
term prediction method for wind power is proposed by combining the maximal information …

Renewable energy resources have enabled the mitigation of global environmental pollution
and sustainable energy generation. Due to renewability, cleanliness, and vast sustainability …

Wind speed interval prediction is playing an increasingly important role in wind power
production. The intermittent and fluctuant characteristics of wind power make high-quality …

With the growing penetration of wind power, the wind power forecasting is fundamental in
aiding the grid scheduling and electricity trading. In this paper, a numerical weather …

Accurate solar power forecasting plays a critical role in ensuring the reliable and economic
operation of power grids. Most of existing literature directly uses available weather …

Electric vehicles (EVs) are promising to provide frequency regulation services due to their
fast regulating characteristics. However, when EVs participate in supplementary frequency …

The ever-increasing number of wind farms has brought both challenges and opportunities in
the development of wind power forecasting techniques to take advantage of …