Energy models are valuable tools that are commonly employed for the optimal design of
distributed energy systems (DES). However, the model-based design process of DES can …

Energy is an essential ingredient of socio-economic development and economic growth.
Renewable energy sources like wind energy is indigenous and can help in reducing the …

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

The probability density function (PDF) of wind speed is important in numerous wind energy
applications. A large number of studies have been published in scientific literature related to …

This paper presents a literature review of the dynamics of offshore floating wind turbine
platforms. When moving further offshore, there is an increase in the capacity of wind power …

An extension of the symmetric-moving-average (SMA) scheme is presented for stochastic
synthesis of a stationary process for approximating any dependence structure and marginal …

As a part of the Hybrid Intelligent Algorithm, a model based on an ANN (artificial neural
network) has been proposed in this paper to represent hybrid system behaviour considering …

The single Weibull distribution, which is the most frequently used in evaluating wind energy
feasibility, fits poorly with zero and low wind speed values and is ineffectual for multimodal …

In this paper, new prediction model introduced by coupling of neural networks model, fuzzy
model and wavelet model for the water resources management. Artificial neural network …

A wavelet-neural network (WNN) hybrid modelling approach for monthly river flow
estimation and prediction is developed. This approach integrates discrete wavelet multi …