This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …

With the continuous increase of wind power penetration in power systems, the problems
caused by the volatile nature of wind speed and its occurrence in the system operations …

Due to its chaotic nature, the wind behavior is difficult to forecast. Predicting wind power is a
real challenge for dispatchers who need to estimate renewable generation in advance to …

As a response to rapidly increasing penetration of wind power generation in modern electric
power grids, accurate prediction models are crucial to deal with the associated uncertainties …

This paper proposes two one-dimensional (1D) convolutional neural networks (CNNs) for
predicting dominant wind speed and direction for the temporal wind dataset. The proposed …

Wind speed forecasting aids in estimating the energy produced from wind farms. The
soaring energy demands of the world and minimal availability of conventional energy …

The rapid expansion of wind farms has drawn attention to operations and maintenance
issues. Condition monitoring solutions have been developed to detect and diagnose …

This paper provides an extensive review of learning-based short-term forecasting models for
smart grid applications. In addition to this, the paper also explores forecasting models …

It is important to forecast the wind speed for managing operations in wind power plants.
However, wind speed prediction is extremely complex and difficult due to the volatility and …

Power generation from renewable energy resources is on the increase in most countries,
and this trend is expected to continue in the foreseeable future. In an effort to enhance the …