This paper presents an overview of existing research on wind speed and power forecasting.
It first discusses state-of-the-art wind speed and power forecasting approaches. Then …

One of the conditions of submission of a paper for publication is that authors declare
explicitly that their work is original and has not been submitted to nor appeared in another …

This paper proposes a hybrid model based on autoregressive (AR) model and Gaussian
process regression (GPR) for probabilistic wind speed forecasting. In the proposed …

Renewable energy is intermittent by nature and to integrate this energy into the Grid while
assuring safety and stability the accurate forecasting of the renewable energy generation is …

Interest in renewable and clean energy sources is becoming significant due to both the
global energy dependency and detrimental environmental effects of utilizing fossil fuels …

As the objective of this study, artificial neural network (ANN) and Markov chain (MC) are
used to develop a new ANN–MC model for forecasting wind speed in very short-term time …

To improve the energy system resilience and economic efficiency, the wind power as a
renewable energy starts to be deeply integrated into smart power grids. However, the wind …

Wind power is currently one of the types of renewable energy with a large generation
capacity. However, operation of wind power generation is very challenging because of the …

A novel fuzzy-based cascade ensemble of regression models is proposed to address a
problem of extreme wind speed events forecasting, using data from atmospheric reanalysis …

With the integration of wind energy into electricity grids, wind speed forecasting plays an
important role in energy generation planning, power grid integration and turbine …