With the continuous growth of wind power integration into the electrical grid, accurate wind
power forecasting is an important component in management and operation of power …

Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

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 …

In the world, wind power is rapidly becoming a generation technology of significance.
Unpredictability and variability of wind power generation is one of the fundamental …

In this paper, a modified EMD-FNN model (empirical mode decomposition (EMD) based
feed-forward neural network (FNN) ensemble learning paradigm) is proposed for wind …

Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of
conventional resource depletion. However, wind power is difficult to implement on a large …

Energy is a vital input for social and economic development of any nation. With increasing
agricultural and industrial activities in the country, the demand for energy is also increasing …

This paper introduces support vector machines (SVM), the latest neural network algorithm, to
wind speed prediction and compares their performance with the multilayer perceptron (MLP) …

For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …