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 …

Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …

Technology for anticipating wind speed can improve the safety and stability of power
networks with heavy wind penetration. Due to the unpredictability and instability of the wind …

The development and deployment of an effective wind speed forecasting technology can
improve the safety and stability of power systems with significant wind penetration. Due to …

Due to expanding global environmental issues and growing energy demand, wind power
technologies have been studied extensively. Accurate and robust short-term wind speed …

Following the fourth industrial revolution, and with the recent advances in information and
communication technologies, the digital twinning concept is attracting the attention of both …

During the past decade, wind power generation has been rapidly developed. As a key
component of feasibility analysis, the cost modelling and economic analysis directly affect …

This paper presents a comprehensive review of machine learning (ML) based approaches,
especially artificial neural networks (ANNs) in time series data prediction problems …

Solar photovoltaic (PV) power is emerging as one of the most viable renewable energy
sources. The recent enhancements in the integration of renewable energy sources into the …

Reliable wind power and ramp event prediction is essential for the safe and stable operation
of electric power systems. Previous prediction methods struggled to forecast large …