Wind energy is an inexhaustible energy source and wind power production has been
growing rapidly in recent years. However, wind power has a non-schedulable nature due to …

Wind turbines have emerged as a prominent renewable energy source globally. Efficient
monitoring and detection methods are crucial to enhance their operational effectiveness …

Renewable energy has gained its significance in the recent years due to the increasing
power demand and the requirement in various distribution and utilization sectors. To meet …

This paper presents review of neural network models for wind speed prediction during the
past 15 years. Wind energy is one of renewable energy system with lowest cost of electricity …

Various criteria are proposed to select the number of hidden neurons in artificial neural
network (ANN) models and based on the criterion evolved an intelligent ensemble neural …

This article presents a dynamic simulation study for the modeling and identification of a 5 kW
Proton Exchange Membrane (PEM) fuel cell system using intelligent ANN approach to get …

This paper introduces the concept and practice of Neural Network architectures for wind
speed prediction in wind farms. The wind speed prediction method has been analyzed by …

This paper presents a hybrid neural network approach to predict wind speed automatically
in renewable energy systems. Wind energy is one of the renewable energy systems with …

In this article, a new modified Spiking Neural Network (SNN) model, a form of machine
learning (ML) model is employed for forecasting wind speed using real-time wind farm …

In the past decades, numerous researchers suggested various approaches for wind speed
prediction model, but still an exact wind speed prediction is of high thrust field. This paper …